Research On Multi Station Target Detection Algorithm Of Short Wave External Emitter Radar

Due to the characteristics of anti-interference,stealth,and easy networking,passive radar has developed rapidly.The passive radar has certain shortcomings in target detection,including the low power of the radiation source signal received by a single station,and the target echo is usually submerged in direct waves and multipath clutter.The passive radar has certain shortcomings in target detection,including the low power of the radiation source signal received by a single station,and the echo is usually submerged in direct waves and multi-path clutter.Therefore,combining multiple receiving stations for target detection has become a development trend.Multi-static passive radar can observe the target from different angles,reducing the impact of target flicker on target detection.At the same time,the joint target detection of multi-static passive radar stations can increase the signal-to-noise ratio of the target and make up for the target echo power of the passive radar to a certain extent,so the target detection of multi-static passive radar has certain research significance.This paper studies the information fusion and signal fusion algorithm of the short-wave band multi-static passive radar stations,and finally realizes the multi-station joint target detection.The common external emitter radar signal,linear frequency modulation signal,phase coded signal and DRM signal,are analyzed,and introduces the characteristics of LFM signal,phase coded signal and DRM signal.The characteristics of radar signal are analyzed,which lays the foundation for the full text.In the case of large amount of echo signal data or heterogeneous signal received by passive radar,the local decision results of each station are transmitted to the fusion center to get the fusion result.Therefore,it is significant to conduct in-depth research on single station detection.The traditional constant false alarm detection is effective for a certain environment,and the detector cannot be adjusted according to the environment.In view of the above problems,the adaptive threshold constant false alarm detection algorithm is studied,different detectors are selected by judging the clutter environment,and the idea of automatic deletion is applied to the algorithm to deal with the unknown number of multi-target interference environments.The algorithm is applied to improve the detection probability of a single receiving station.In a multi-receiving station environment,a certain fusion algorithm is applied to obtain the final decision.Aiming at the problem of the above-mentioned fusion algorithm using less original data and poor detection performance,a multi-static passive radar signal fusion detection algorithm is studied.Based on the multi-static passive radar station detection model,the LRT detector and the NCI detector are obtained.Aiming at the spatial registration error in the process of unifying the signal coordinates,the detection algorithm under the registration error is deeply studied,and the detection performance of various detectors is compared.Finally,the above algorithm is simulated experiment and measured data processing.Establish a radar system and signal model similar to the actual environment,and test the effectiveness of the algorithm.It is further applied to the measured data to verify the feasibility of algorithm.