Wireless Distributed Shockwave Signal Testing System

The test of shock wave is very important for the parameter evaluation of artillery,rocket and missile.The traditional shockwave test system is divided into lead type and memory type test system.The lead test system has the disadvantage of complicated wiring,while the storage test system cannot observe the data in real time.For this reason,a wireless shock wave testing system is designed in this paper,so that in the process of signal measurement,not only the complicated wiring is omitted,but also the data can be observed in real time.However,the biggest problem of the wireless test system is that the limited transmission rate is not enough to satisfy the simultaneous transmission of multi-channel signals.Therefore,this paper proposes an improved Exp-Golomb algorithm based on multi-order incremental prediction to compress the shock wave data.The improved algorithm uses time-domain threshold discrimination to distinguish transient and non-transient data,and based on the original exp-golomb algorithm,the redundancy of data to be compressed is reduced by multi-order incremental prediction.The improved algorithm compressed and simulated the 800 Kbytes data collected by 5psi and 50 psi sensors.The results showed that the compression rate of the algorithm was 66.57%(5psi)and 68.98%(50psi),among which the compression rate of transient data was 55.94%(5psi)and 56.17%(50psi).After compression,the data volume was significantly reduced.Then,the software and hardware of each part of the system are designed,and the improved Exp-Golomb compression algorithm is implemented on FPGA.The system has high sampling rate,wireless transmission and real-time data recovery on the upper computer.The designed system is mainly divided into the front-end processing part and the back-end host computer.The front processing part adjusts,collects and compresses the shock wave signal,and then sends the compressed data through the wireless module.The host computer at the back end receives,decompresses and displays the data in real time.The real-time test shows that the real-time compression rate of various types of sensor data in the system is more than 50%,which is consistent with the results of compression simulation and completes the design purpose of the system.