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By Hans-Georg Büsing, Ulrich Haak, and Peter Hecker Future safety-relevant driver assistant systems demand vehicle state estimations accurate enough to match the position within a road lane, which cannot be provided by standalone GPS. A promising approach to meet the requirements is the fusion of standalone or differential GNSS measurements with vehicle sensor data like odometers or accelerometers. To achieve deeper sensor integration, a software GNSS receiver was developed at the Institute of Flight Guidance (IFF) that is able to use dead reckoning sensors to support its signal acquisition. This article presents an approach to estimate the signal states during outages based on the tightly coupled vehicle state, which reduces the reacquisition time and significantly increases the signal availability. GNSS-based navigation is a key enabler for future advanced driver assistance systems (ADAS). Car manufacturers have identified automotive assistance systems as core devices to propose their uniqueness mainly in the luxury and upper-class market segments. While the precision and availability of loosely coupled single-frequency GPS navigation satisfies the requirements of typical route guidance systems, future automotive systems — especially those that enhance driving safety — are more demanding on positioning system performance. The Institute of Flight Guidance (IFF) of the Technische Universität, Braunschweig, Germany, is involved in two research projects evaluating the performance of unaided traditional GNSS receivers coupled with vehicle sensor measurements such as odometers in a tightly coupled architecture. Besides these involvements, the IFF has developed a general-purpose software-based GNSS receiver allowing full access to signal processing routines. The benefits of the tight sensor fusion are reliable state estimations even during total signal outages that are common in the automotive sector due to tunnels, parking decks, or urban canyons. In this architecture, the GNSS receiver works autonomously to deliver raw GNSS-measurements only. Additional knowledge provided by the vehicle sensors cannot be used to support the receiver in any way. Besides other beneficial aspects in the tracking channels, additional external knowledge about the vehicle state has the potential to reduce acquisition times and improve the measurement availability significantly. The Institute of Flight Guidance uses a software environment called “Automotive Data and Time-Triggered Framework” (ADTF) for research in the field of ADAS and automotive navigation. In this software framework, the overall system architecture is assembled with independent modules. These modules are implemented as libraries and loaded into ADTF. Data is exchanged via pins that are defined as public variables. The framework also attaches timestamps to the individual measurements and adds a data recording and playback functionality. From a general-purpose software GNSS receiver, presented at the ION GNSS 2010, we have derived an automotive-specific ADTF software receiver module. The software framework adds the flexibility to synchronously process measurements from vehicle sensors additionally to the IF data from the front end. This gives us the opportunity to aid signal processing in the software GNSS receiver with additional external sensors. For positioning, a tightly coupled positioning filter based on GPS raw data measurements and the rear-wheel odometers is implemented. The vehicle’s motion is modeled using a kinematic relationship between the vehicle sensors and the GNSS measurements. Based on the tightly coupled vehicle state estimation, an acquisition state is processed during signal outages that enables the software GNSS receiver to reacquire the satellite signal instantaneously with high precision. In this article, the constituent parts of the system are presented and the estimation of the acquisition state derived. The system was tested in an urban scenario, and the state estimations validated with the recorded measurements. System Architecture The software-defined GNSS receiver developed by the IFF was designed to process the computationally expensive signal correlation on an Nvidia graphics board using the vast parallel processing capability of graphics processing units (GPUs). With the use of common graphics boards, an entire receiver can be implemented on an ordinary PC, needing only a front-end to receive digital GNSS signals in an intermediate frequency (IF) band. For research in the field of vehicle state estimation, a derivate of the software receiver of the Institute of Flight Guidance has been implemented in the “Automotive Data and Time-Triggered Framework” (ADTF). The software is commonly used in the automotive industry for the development of ADAS. Figure 1 shows a typical system layout in ADTF. A central component of the framework is the ability to record and play back measurement data, which is indicated by the buttons on the left of the screenshot. Figure 1. System Architecture in ADTF. (Click to enlarge.) Within ADTF, the systems are assembled from modules that are shown as blocks within the graphical configuration editor. Standard modules such as the connection of common hardware are provided with the framework. Custom modules can be implemented in C++ by the user. Every module is implemented as a dynamic library (DLL) and interpreted by the framework. Modules can be featured with input and output pins. These pins are implemented by using specific data types from the framework. The communication and data exchange between the modules is handled via these pins. They can be connected by graphically drawing connector lines in the configuration editor. ADTF provides the user with classes for timing and threading. Processes can thereby be linked to the ADTF system time, which is especially important as the data replay can be slowed down or sped up for debugging. The instantaneous reacquisition algorithm is based on a traditional approach of tightly coupling GNSS raw data with vehicle sensor measurements. The fusion is based on a kinematic model following the Ackermann geometry establishing the relationship between the vehicle’s motion and the respective measurements. At each time step of an arriving measurement, the vehicle’s motion is predicted based on the last estimated state with an extended Kalman filter. The prediction is then corrected using either measurements from the vehicle sensors or GNSS raw measurements. The range and Doppler measurements are calculated in the tracking channels of the ADTF software GNSS receiver. The corrected vehicle state is then fed back into the kinematic model for the next update cycle. In case the GNSS signal is lost in a tracking channel, a virtual tracking channel is initialized with the last calculated channel states. The change in the channel output is then predicted utilizing the change in the vehicle state and the current evaluation of the ephemeris. The schematic implementation of the channel state prediction is shown in Figure 2. Figure 2. Schematic of Channel State Prediction. (Click to enlarge.) Signal State Estimation Using the tightly coupled architecture presented above, an estimated position and velocity can even be provided during total signal outages. Assuming that the last valid observation of a satellite signal is stored together with its respective time to and position, an estimation of the signal state (that is, Doppler frequency, code- and carrier-phase) based on the estimation of the vehicle state during the signal outage at time t1 can be used for an instantaneous signal reacquisition. Using the ephemeris data provided by the respective GPS satellite the range between a user position xu and the satellite xsv can be calculated using the following terms     (1) and (2) with |…| indicating the Euclidian distance. Therefore the change of the range can be obtained with equations (1) and (2): (3) Assuming an unbiased Gaussian error distribution of the measurements, the tightly coupled system provides an estimation of the covariance matrix of the vehicle state. Using only the submatrix (4) related to the vehicle position, the covariance of the user position along the line-of-sight to the satellite can be obtained with the Euclidean norm of the line-of-sight vector (5) and the law of error propagation: (6) Furthermore, using the law of error propagation, it can be shown that the variance of the change of range estimation in equation (3) is obtained by:    (7) With the last valid range measurement related to time to, the signal state at time t1 can be obtained for the pseudo-range PSR    (8) and the carrier phase Φ:     (9) The resulting variance of these estimations can by expressed by    (10) and    (11) respectively. The estimate of the Doppler and the related variance can be obtained analogous. Considering the variances of the estimation, it can be decided if the signal can be reacquired instantaneously or if the receiver has to find the signal using standard acquisition routines in a limited search space. Experimental Validation The Volkswagen Passat station wagon operated by the Institute of Flight Guidance was used to evaluate the performance of the proposed algorithm (see PHOTO.) The test vehicle is customized from the standard by adding an additional generator to meet the power requirements of the measurement and processing hardware. In addition, the Controller Area Network (CAN) is mirrored and open to access the data collected by the sensors of the vehicle. The relevant sensors include a longitudinal accelerometer, a gyro for measuring the yaw rate as well as the odometers of all four wheels. The test vehicle is equipped with a GNSS front-end developed by the Fraunhofer Institute for Integrated Circuits. It is capable of streaming L1, L2, and L5 RF samples via two USB ports. The sampling rate of L1 is 40.96 MHz at an intermediate frequency of 12.82 MHz. Test Vehicle. A customized Volkswagen Passat was used to evaluate performance of the algorithm. The vehicle sensor data is streamed via CAN to an automotive PC from Spectra. It is equipped with an Intel quadcore CPU, 8 GB RAM, a Vector PCI CAN device and 256 GB SATA solid state disk allowing up to 195 MB/s writing speed. Additionally, it has been equipped with an Nvidia GeForce GT 440 graphics board that is used for processing the GNSS RF data. This specific graphics board was chosen because it offers a comparably high performance of the GPU at relatively low power consumption. Both GNSS RF data and data from the vehicle sensor network are streamed to an ADTF hard disk recorder. Due to the setup of the data acquisition, several challenges have to be solved. The first challenge is that the front-end needs to be used as hardware-in-the-loop. It is by itself not equipped with an automated gain control. Therefore, it is not possible to just stream the RF data but it has to be decoded, processed for adjusting the gain, and then stored to the hard drive. Secondly, the recording setup needs to cover high data rates. The GNSS front-end streams approximately 20 MB/s. As the data needs to be decoded and processed for gain control, the expanded data rate for recording is ~40 MB/s. In total including vehicle sensor measurements, >2000 data packets per second are streamed to the recorder. Because this could not be done using mechanical hard drives, we used solid state disks that also allow data storage during times of high vibration. Related to the before-mentioned challenges, an efficient thread management needed to be implemented. The software framework’s threading classes are utilized to parallelize the receiver processes. Additionally, it has arisen that a significant part of the processing time is taken by the data transfer to the memory of the GPU. In order to prove the advantages of an odometer-aided reacquisition, an applicable testing scenario was chosen. To distinguish an odometer-based aquisition approach from a model-based approach, a trajectory was chosen that features a right turn of 90 degrees immediately after cutting off the GNSS signal. A model-based kinematic prediction would project the trajectory in the direction of the latest known heading derived by the GNSS solution. Only a sensor-based state estimation is able to resolve the right turn. The driven trajectory is shown in Figure 3. The GNSS signal has been cut off for approximately 10 seconds, which is equivalent of a 75-meter drive on dead reckoning sensors only after the right turn. Figure 3. Trajectory of test drive includes a 90-degree turn. (Click to enlarge.) Results The following plots in Figure 4 show the performance of the virtual tracking channels. The plots in the upper row show the pseudorange output over time. For vividness they have been corrected for the motion of the respective satellite that is dominant due to their high speeds. Over a short period of time the satellites’ motion relative to the receiver can be linearly approximated. The pseudorange measurements over time were fit using a linear regression. The respective value of the linear regression was then subtracted from the pseudorange and plot over time as shown in the figures in the second row, leaving only the approximated influence of the vehicle’s motion. Figure 4. Modified pseudorange and Doppler results of the virtual tracking channels. (Click to enlarge.) The Doppler measurements have been similarly compensated by just subtracting the minimum measurement. These modifications of the pseudorange and Doppler measurements allow a direct comparison of each other as the Doppler can be understood as the first derivate of the pseudorange over time. The results of PRN 6 show that the Doppler estimate during the GPS outage smoothly fits into the surrounding measurements without any major outliers. The plot of the pseudorange shows a similar behavior. The pseudorange could have potentially been modeled using a dynamic prediction that is not based on vehicle sensors due to the limited dynamics on the pseudorange measurements. The Doppler plot of PRN 16 shows a strong change in the relative velocity between satellite and receiver. If a further projection of the Doppler using a linear dynamic model would have been used instead of predicting with vehicle sensors, it would likely have misled the reacquisition by ~ 50 Hz. The trend in the pseudorange measurements is comparable to PRN 6 at a higher rate of change. The plots of PRN 21 probably show the advantages of using vehicle sensors for reacquisition best as the dynamics on pseudorange and Doppler are the most significant in the group. Both pseudorange and Doppler show a turning point during the GNSS outage. Especially, the pseudorange would have been mismodeled using a kinematic predicion that is not relying on additional sensors. Conclusion In this article, a tightly coupled positioning system implemented in the automotive-specific framework ADTF was presented that is based on the fusion of standard automotive sensor data and software receiver measurements. We showed that, using the tightly coupled solution, an acquisition state during signal outages can be estimated that allows the tracking channels to reacquire the signal instantaneously without the need of computationally expensive acquisition routines. Under the assumption of a tightly coupled RTK position and small outage times, a reacquisition of the carrier phase without loosing the information about the phase ambiguity seems possible. In the next version of the automotive GNSS receiver, the authors are planning to integrate the vehicle sensors to aid the tracking loops, which is likely to further improve tracking continuity especially in scenarios with high vegetation. Additionally, we plan to show that the implementation is capable of working in real time. Improvements of the initialization of the virtual tracking loops are also intended. Acknowledgments This article is based on a paper presented at ION-GNSS 2011, held September 19–23 in Portland, Oregon. This work was funded by the Federal State of Lower Saxony, Germany. Project: Galileo – Laboratory for the research airport Braunschweig. The authors would like to thank their colleagues working in the automotive navigation group for continuous support with the ADTF framework. Hans-Georg Büsing holds a Dipl.-Ing. in aerospace engineering from the Technische Universität Braunschweig and has been a research engineer at IFF since 2008. He works in the area of applied satellite navigation, especially in the field of vehicle positioning. Ulrich Haak holds a Dipl.-Ing. in mechanical engineering from the Technische Universität Braunschweig and joined IFF in 2008 as a research engineer. He works in the areas of receiver design and positioning algorithms. Peter Hecker joined IFF in 1989 as research scientist. Initial focus of his scientific work was in the field of automated situation assessment for flight guidance. From 2000 until 2005, he was head of the DLR Pilot Assistance department. Since April 2005, he has been director of IFF. He is managing research activities in the areas of air/ground cooperative air traffic management, airborne measurement technologies and services, satellite navigation, human factors in aviation, and safety in air transport systems.

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40 w for each single frequency band.a mobile device to help immobilize.jobmate battery charger 18vdc used for rechargeable battery,lenovo adp-65kh b ac adapter 20vdc 3.25a -(+)- 2.5x5.5x12.5mm.liteon hp ppp009l ac adapter 18.5v dc 3.5a 65w power supply,oem ad-0650 ac adapter 6vdc 500ma used -(+) 1.5x4mm round barrel,5g modules are helping accelerate the iot’s development,this interest comes from the fundamental objective,sceptre ad1805b 5vdc 3.7a used 3pin mini din ite power supply.nortel a0619627 ac adapters16vac 500ma 90° ~(~) 2.5x5.5m,sb2d-025-1ha 12v 2a ac adapter 100 - 240vac ~ 0.7a 47-63hz new s,grab high-effective mobile jammers online at the best prices on spy shop online,ibm 02k7006 ac adapter 16vdc 3.36a used -(+)- 2.5x5.5mm 100-240v.acbel ad9014 ac adapter 19vdc 3.42a used -(+)- 1.8x4.8x10mm,umec up0451e-15p ac adapter 15vdc 3a 45w like new -(+)- 2x5.5mm,telergy sl-120150 ac adapter 12vdc 1500ma used -(+) 1x3.4mm roun,tyco r/c 33005 tmh flexpak nimh ac adapter 8.5v dc 370ma 3.2va u,makita dc9800 fast charger 7.2v dc9.6v 1.5a used 115~ 35w,panasonic bq-345a ni-mh battery charger 2.8v 320ma 140max2,ilan f1960i ac adapter 19v 3.42a 34w i.t.e power supply,5v/4w ac adapter 5vdc 400ma power supply,that is it continuously supplies power to the load through different sources like mains or inverter or generator.many businesses such as theaters and restaurants are trying to change the laws in order to give their patrons better experience instead of being consistently interrupted by cell phone ring tones.cellet tcnok6101x ac adapter 4.5-9.5v 0.8a max used,this project shows a no-break power supply circuit.the data acquired is displayed on the pc.eng 41-12-300 ac adapter 12vdc 300ma used 2 x 5.4 x 11.2 mm 90 d,li shin lse9802a2060 ac adapter 20vdc 3a 60w max -(+)- used.ad41-0900500du ac adapter 9vdc 500ma power supply.it consists of an rf transmitter and receiver.health-o-meter pelouze u090010d12 ac adapter 9v 100ma switching,compaq ppp003 series adp-50ub ac adapter 18.5v 2.7a,he sad5012se ac adapter 12vdc 4.3a used -(+) 2x5.5x11.2mm round,lenovo sadp-135eb b ac adapter 19v dc 7.11a used -(+)3x5.5x12.9.a constantly changing so-called next code is transmitted from the transmitter to the receiver for verification,ching chen wde-101cdc ac dc adapter 12v 0.8a power supply,replacement dc359a ac adapter 18.5v 3.5a used 2.3x5.5x10.1mm,finecom hk-a310-a05 uk 510 charger 5vdc 3a +(-) 2x5.5mm replacem,atlinks usa 5-2629 ac adapter 9vdc 300ma power supply class 2 tr,be possible to jam the aboveground gsm network in a big city in a limited way,9-12v dc charger 500-1000ma travel iphone ipod ac adapter wall h,verifone nu12-2120100-l1 ac adapter 12vdc 1a used -(+) 2x5.5x11m,ibm 07g1232 ac adapter 20vdc 1a07g1246 power supply thinkpad.smoke detector alarm circuit.fsp fsp130-rbb ac adapter 19vdc 6.7a used -(+) 2.5x5.5mm round b.rocketfish nsa6eu-050100 ac adapter 5vdc 1a used,liteon pa-1750-07 ac adapter 15vdc 5a pa3283u-2aca pa3283e-2aca.information technology s008cm0500100 ac adapter 5vdc 1000ma used.icm06-090 ac adapter 9vdc 0.5a 6w used -(+) 2x5.5x9mm round barr,viewsonic adp-60wb ac adapter 12vdc 5a used -(+)- 3 x6.5mm power,li shin lse9901b1260 ac adapter12vdc 5a 60w used 4pin din power,lien chang lcap07f ac adapter 12vdc 3a used -(+) 2.1x5.5mm strai.

Vtech s004lu0750040(1)ac adapter 7.5vdc 3w -(+) 2.5x5.5mm round.the frequencies are mostly in the uhf range of 433 mhz or 20 – 41 mhz,delta sadp-185af b 12vdc 15.4a 180w power supply apple a1144 17".texas instruments xbox 5.1 surround sound system only no any thi.vswr over protectionconnections,delta adp-50gh rev.b ac adapter 12vdc 4.16a used 2 x 5.5 x 9.5mm.motorola psm5037b travel charger 5.9v 375ma ac power supply spn5,oem ads18b-w 220082 ac adapter 22vdc 818ma used -(+)- 3x6.5mm it,nikon mh-71 ni-mh battery charger 1.2vdc 1a x2 used.this project shows the control of that ac power applied to the devices.finecom dcdz-12010000 8096 ac adapter 12vdc 10.83a -(+) 2.5x5.5m,at&t sil s005iu060040 ac adapter 6vdc 400ma -(+)- 1.7x4mm used.for more information about the jammer free device unlimited range then contact me,csec csd0450300u-22 ac adapter 4.5vdc 300ma used -(+) 2x5.5mm po,netgear sal018f1na ac adapter 12vdc 1.5a used -(+) 2x5.5x9mm rou.cyber acoustics md-75350 ac adapter 7.5vdc 350ma power supply.black&decker ua-090020 ac adapter 9vac 200ma 5w charger class 2,cisco adp-15vb ac adapter 3.3v dc 4550ma -(+) 2.5x5.5mm 90° 100-,dell pa-9 ac adapter 20vdc 4.5a 90w charger power supply pa9,smart 273-1654 universal ac adapter 1.5 or 3vdc 300ma used plug-.this project utilizes zener diode noise method and also incorporates industrial noise which is sensed by electrets microphones with high sensitivity,pa-1121-02hd replacement ac adapter 18.5v 6.5a laptop power supp.canon cb-5l battery charger 18.4vdc 1.2a ds8101 for camecorder c,hipro hp-02036d43 ac adapter 12vdc 3a -(+) 36w power supply,southwestern bell 9a200u-28 ac adapter 9vac 200ma 90° right angl,ault symbol sw107ka0552f01 ac adapter 5vdc 2a power supply.aiwa ac-d603uc ac adapter 5.5v 250ma 8w class 2 power supply,konica minolta bc-600 4.2v dc 0.8a camera battery charger 100-24.eng 3a-302da18 ac adapter 20vdc 1.5a new 2.5x5.5mm -(+) 100-240v.hppa-1121-12h ac adapter 18.5vdc 6.5a 2.5x5.5mm -(+) used 100-,courier charger a806 ac adaptr 5vdc 500ma 50ma used usb plug in.dell pa-1151-06d ac adapter 19.5vdc 7.7a used -(+) 1x4.8x7.5mm i,dymo dsa-65w-2 24060 ac adapter 24vdc 2.5a label writer.tdp ep-119/ktc-339 ac adapter 12vac 0.93amp used 2.5x5.5x9mm rou,the mechanical part is realised with an engraving machine or warding files as usual,people also like using jammers because they give an “out of service” message instead of a “phone is off” message,k090050d41 ac adapter 9vdc 500ma 4.5va used -(+) 2x5.5x12mm 90°r,browse recipes and find the store nearest you,with its highest output power of 8 watt.xata sa-0022-02 automatic fuses.leap frog 690-11213 ac adapter 9vdc 700ma used -(+) 2x5x11mm 90°,apple a1202 ac adapter 12vdc 1.8a used 2.5x5.5mm straight round,energizer accu chm4fc rechargeable universal charger like new 2.,the proposed system is capable of answering the calls through a pre-recorded voice message.sony vgp-ac19v10 ac adapter 19.5vdc 4.7a notebook power supply,audiovox 28-d12-100 ac adapter 12vdc 100ma power supply stereo m,oki telecom rp9061 ac adapter 7.5vdc 190ma used -(+) 1.5x3.5mm r,set01b electronic transformer 12vac 105w 110vac crystal halogen,dve dsa-31s fus 5050 ac adapter+5v dc 0.5a new -(+) 1.4x3.4x9.,this project shows the control of home appliances using dtmf technology,compaq le-9702a ac adapter 19vdc 3.16a -(+) 2.5x5.5mm used 100-2.component telephone u070050d ac adapter 7vdc 500ma used -(+) 1x3.

Ad-300 ac adapter 48vdc 0.25a -(+) 2.5x5.5mm 90° power supply 3g,this is also required for the correct operation of the mobile.realistic 20-189a ac adapter 5.8vdc 85ma used +(-) 2x5.5mm batte,hy-512 ac adapter 12vdc 1a used -(+) 2x5.5x10mm round barrel cla.lf0900d-08 ac adapter 9vdc 200ma used -(+) 2x5.5x10mm round barr.qc pass e-10 car adapter charger 0.8x3.3mm used round barrel.brother ad-20 ac adapter 6vdc 1.2a used -(+) 2x5.5x9.8mm round b.globtek gt-21089-1509-t3 ac adapter 9vdc 1.7a 15w used -(+)- 2.5,bothhand sa06-20s48-v ac adapter +48vdc 0.4a power supply,apple m1893 ac adapter 16vdc 1.5a 100-240vac 4pin 9mm mini din d,ad-1820 ac adapter 18vdc 200ma used 2.5x5.5x12mm -(+)-,linksys wa15-050 ac adapter 5vdc 2.5a used -(+) 2.5x5.5mm round,jammer free bluetooth device upon activation of the mobile jammer,what is a cell phone signal jammer,sony dcc-fx110 dc adapter 9.5vdc 2a car charger for dvpfx810,ibm 85g6733 ac adapter 16vdc 2.2a 4 pin power supply laptop 704,yhi 001-242000-tf ac adapter 24vdc 2a new without package -(+)-,xings ku1b-038-0080d ac adapter 3.8vdc 80ma used shaverpower s.the jamming radius is up to 15 meters or 50 ft.archer 273-1454a ac dc adapter 6v 150ma power supply.m2297p ac car adapter phone charger used 0.6x3.1x7.9cm 90°right,yj yj-502 ac adapter 13.5v dc 1.3a used mini usb connector p.leinu70-1120520 ac adapter 12vdc 5.2a ite power supply desktop.delta eadp-45bb b ac adapter 56vdc 0.8a used -(+) 2.5x5.5x10.4mm,eng 3a-161wp05 ac adapter 5vdc 2.6a -(+) 2.5x5.5mm 100vac switch,cardio control sm-t13-04 ac adapter 12vdc 100ma used -(+)-.ault mw117ka ac adapter 5vdc 2a used -(+)- 1.4 x 3.4 x 8.7 mm st,analog vision puaa091 +9v dc 0.6ma -(+)- 1.9x5.4mm used power.phihong psa31u-120 ac adapter 12vdc 2.5a -(+) 2x5.5mm used barre.texas instruments zvc36-13-e27 4469 ac adapter 13vdc 2.77a 36w f,lei 411503oo3ct ac adapter 15vdc 300ma used -(+) coax cable outp.outputs obtained are speed and electromagnetic torque,hp pa-1650-32hn ac adapter 18.5v dc 3.5a 65w used 2.5x5.5x7.6mm,disrupting a cell phone is the same as jamming any type of radio communication.bell phones dvr-1220-3512 12v 200ma -(+)- 2x5.5mm 120vac power s,car charger 2x5.5x12.7mm round barrel,sears craftsman 974775-001 battery charger 12vdc 1.8a 9.6v used.phase sequence checking is very important in the 3 phase supply.ault pw15aea0600b05 ac adapter 5.9vdc 2000ma used -(+) 1.3x3.5mm.novus dc-401 ac adapter 4.5vdc 100ma used 2.5 x 5.5 x 9.5mm,astec sa35-3146 ac adapter 20vdc 1.75a power supply,sony ac-e455b ac adapter 4.5vdc 500ma used -(+) 1.4x4x9mm 90° ro,lighton pb-1200-1m01 ac adapter 5v 4a switching ac power supply,artesyn ssl12-7630 ac adapter 12vdc 1.25a -(+) 2x5.5mm used 91-5.sony ericsson cst-18 ac adapter 5vdc 350ma cellphone charger,it has the power-line data communication circuit and uses ac power line to send operational status and to receive necessary control signals.creative xkd-z1700 i c27.048w ac adapter 27vdc 1.7a used -(+) 2x,compaq pa-1900-05c1 acadapter 18.5vdc 4.9a 1.7x4.8mm -(+)- bul.dell adp-150eb b ac adapter19.5vdc 7700ma power supplyd274.a51813d ac adapter 18vdc 1300ma -(+)- 2.5x5.5mm 45w power supply,go through the paper for more information,s120s10086 ac adapter 12vdc 1a used -(+) 2x5.5x12mm 90° round ba.

Signal jammer is a device that blocks transmission or reception of signals,ihomeu150150d51 ac adapter 15vdc 1500ma -(+) 2.1x5.5x10mm roun,casio phone mate m/n-90 ac adapter 12vdc 200ma 6w white colour.it is always an element of a predefined.sanyo scp-01adtac adapter 5.5v 950ma travel charger for sanyo.but also completely autarkic systems with independent power supply in containers have already been realised,ridgid r86049 12vdc battery charger for drill impact driver cord,asus ad59230 ac adapter 9.5vdc 2.315a laptop power supply,variable power supply circuits.premium power ea1060b ac adapter 18.5v 3.5a compaq laptop power,tags 2g bestsellers gprs gps jammer gps l1,temperature controlled system,u090050d ac adapter 9vdc 500ma used -(+) 2x5.5mm 90° round barre,ault pw15ae0600b03 ac adapter 5.9vdc 2000ma used 1.2x3.3mm power,this is done using igbt/mosfet,wang wh-601e2ca-2 ac adapter 12vac 5a 60w used 2pin 120vac plug,toshiba pa2450u ac adapter 15v dc 3a 45w new power supply,hjc hasu11fb ac adapter 12vdc 4a -(+) 2.5x5.5mm used 100-240vac,this device can cover all such areas with a rf-output control of 10,the number of mobile phone users is increasing with each passing day.ottoman st-c-075-19000395ct ac adapter 19vdc 3.95a used3 x 5.4.solutions can also be found for this,tongxiang yongda yz-120v-13w ac adapter 120vac 0.28a fluorescent.eps f10603-c ac adapter 12-14v dc 5-4.82a used 5-pin din connect,.

2022/01/24 by AN_bEooe@aol.com

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