Research On Target Detection Algorithm Of Millimeter Wave Radar In Multipath Environment

With the popularization of radar application,millimeter-wave radar has gradually entered people's sights.There are more and more cases of millimeter-wave radar applied in the civili market and applying millimeter-wave radar to regional surveillance is becoming an emerging industry.At the same time,it also poses new challenges to the performance of millimeter-wave radar.How to ensure the detection performance of millimeter-wave radar in complex environments has become an urgent problem to be solved.Based on the actual demand,this paper studies and implements the millimeter-wave radar detection algorithm in multi-path environment in order to develop the millimeter-wave radar in the field of regional surveillance market.The detection algorithm of millimeter-wave radar is deduced and verified.Finally,it is implemented on the scalable platform ZYNQ to ensure the detection performance of millimeter-wave radar in multi-path environment.The research conducted in this paper mainly includes the following contents:1、System design and parameter setting for the whole millimeter-wave radar signal processing,including waveform system and pulse cancellation,2D FFT,CFAR detection and other modules.The effect and functions of each module are introduced in detail,and several important and difficult parts of the current millimeter-wave radar detection algorithm are summarized.2、In the multipath environment,the principle derivation and effect verification of the current clutter suppression method for millimeter-wave radar are carried out based on the ZYNQ platform.These clutter suppression methods have insufficient detection capabilities for low-speed targets,and regional surveillance of millimeter-waves requires more sensitivity to slow moving targets.This paper proposes a new clutter suppression method to improve the detection performance of radar.At the same time,a clutter suppression method after CFAR detection is proposed,which can suppress some of strong clutter.3、For the mean class and the ordered statistic class constant false alarm detector,the principle and basic structure are deduced in detail.And under the support of actual data,the advantages and disadvantages of these two CFAR detectors are summarized.On this basis,a detection method for adapting to the unknown environment and the number of targets is proposed.On the ZYNQ platform,the performance of the three detectors was compared and analyzed through various environmental data,and finally the applicability of the new algorithm was verified.4、Three algorithms based on post-tracking feedback,mathematical modeling analysis and micro-Doppler feature are proposed to suppress multipath signals in multipath environment.Based on the actual environment,the causes of various multi-paths are analyzed.Data validation and field testing via the ZYNQ platform,the multipath signal is effectively suppressed,and the feasibility of the algorithm is guaranteed.