Reserach On Low Probability Intercept Velocity-measurement Radar

Vehicle’s speeding has been the primary cause of most traffic accidents in the modern life. Thus, increases supervision of it, has become one of the most important work to the transportation administration departments in law enforcement. However, the existing of anti-radar products on the market, such as RADAR DETECTOR, has seriously affected the use of velocity radar, and makes drivers predict the existing of velocity radar, thereby avoiding the ticket for speeding. This thesis aims at the factual demand, and presents a kind of velocity radar, which can not only confront the RADAR DETECTOR, but also achieve the function of velocity measurement.On the basis of the RADAR DETECTOR principle, this thesis starts from the radar waveform, which is designed for the LPI velocity-measurement radar. Based upon that, this thesis studies the signal processing algorithms, whose effectiveness of velocity measurement and LPI property against RADAR DETECTOR, is verified through the design of experimental prototype and the outfield experiments. The main work of this thesis includes:1. Choose the waveform of the LPI velocity-measurement radar.On the view of meeting the LPI performance and the speed measurement performance of the LPI velocity-measurement radar, the transmit waveform of the LPI velocity-measurement radar is designed as LFMCW in this thesis. And according to the principle of RADAR DETECTOR, which can confront velocity radars, this thesis evaluates the ability of selected waveform to confront RADAR DETECTOR.2. Studies the signal processing method of the LPI velocity-measurement radar.According to the application requirements of the LPI velocity-measurement radar and on the basis of the selected waveform-STLFMCW, this thesis studies three signal processing algorithms, which can not only solve range-velocity decoupling, but also achieve effective clutter suppression: the algorithm based on 2-FFT, the algorithm based on Keystone, and the algorithm based on the positive and negative frequency cancellation process. In addition, this thesis compares the performance of the three signal processing algorithms above, chooses the positive and negative frequency cancellation process as the algorithms in radar system, and then analyses the performance of clutter suppression and speed measurement of this algorithm.3. Designs the experimental prototype of the LPI velocity-measurement radar.Based on the determined radar waveform and signal processing algorithm, in view of the application index applied by the LPI velocity-measurement radar, this thesis chooses the suitable system parameters and designs the experimental prototype.4. Designs and carries out outfield experiments to verify the effectiveness of the speed measuring algorithm.According to the needs of algorithm verification, this thesis designs and carries out outfield experiments, and further processes and analyses the data from experiment, to prove the speed performance of the system and the radar detectors’ detection performance.