Joint Sparsity Representation For CS-MIMO Radar Space-time Echo

As a kind of new system radar,MIMO radar is also confronted with mass data processing due to increase in dimensionality compared with traditional radar.The high sparsity of background relative to Radar detecting target provides application of compressive sensing(CS)technology with possibility.Radar signal processing based on CS technology has become the research hotspot in the field of radar.However,under the condition of detection of low signal-to-noise ratio(SNR),refactoring performance of CS will substantially get reduced and even lose efficacy and RIP condition of sensing matrix makes it difficult to realize pulse accumulation technologies.This essay,aiming at how to realize the utilization of multi-pulse information in CS-MIMO radar so as to enhance the SNR,studies joint-sparse-representation of space-time echo signal of MIMO radar based on CS and a kind of compensation method of target range migration based on joint sparse dictionary synchronization aiming at CS radar pulse accumulative process for the purpose of elevating refactoring performance of CS-MIMO radar of low SNR.Main work is as follows:(1)High-dimensional joint sparse representation model of space-time echo signal of CS-MIMO radar under pulse system is studied.By analyzing slicing method of three-dimensional data block of space-time echo signal,three different construction methods of multiple-pulse slice high-dimensional joint sparse dictionary of space-time echo signal are studied and one sparse optimal joint sparse representation model is designed,thereby laying a foundation for the high-dimensional joint sparse refactoring of MIMO radar space-time echo.(2)Regarding Migration Through Range Cell(MTRC)between pulse groups,compensation method of target range migration based on alignment of pulse group of joint sparse dictionary is put forward.By alignment of pulse group of joint sparse dictionary,target MTRC is corrected.On a basis of intra-group pulse accumulation,the accumulation between pulse groups is realized.Simulation experiment verifies that the proposed method improves parameter estimation performance of moving target of CS radar under MTRC.(3)The construction of space-time high-dimensional joint sparse dictionary and application of compensation method of target range migration to parameter estimation of moving target of centralized and distributed MIMO radar are respectively studied.Space-time high-dimensional joint sparse representation model of centralized and distributed MIMO radar and corresponding method of alignment of pulse group of joint sparse dictionary are designed so as to realize joint estimation of multi-parameter of moving target of centralized and distributed CS MIMO radar under low SNR.