Computationally efficient MUSIC based DOA estimation algorithm for FMCW radar  

作　　者：Bakhtiar Ali Karim Haitham Kareem Ali 

机构地区：[1]Department of Communication Engineering,Sulaimani Polytechnic University,Sulaymaniyah,70-236,Iraq

出　　处：《Journal of Electronic Science and Technology》2023年第1期46-64,共19页电子科技学刊（英文版）

摘　　要：This paper proposes low-cost yet high-accuracy direction of arrival(DOA)estimation for the automotive frequency-modulated continuous-wave(FMcW)radar.The existing subspace-based DOA estimation algorithms suffer fromeither high computational costs or low accuracy.We aim to solve such contradictory relation between complexity and accuracy by using randomizedmatrix approximation.Specifically,we apply an easily-interpretablerandomized low-rank approximation to the covariance matrix(CM)and R∈C^(M×M)throughthresketch maties in the fom of R≈OBQ^(H).Here the approximately compute its subspaces.That is,we first approximate matrix Q∈C^(M×z)contains the orthonormal basis for the range of the sketchmatrik C∈C^(M×z)cwe whichis etrated fom R using randomized unifom counsampling and B∈C^(z×z)is a weight-matrix reducing the approximation error.Relying on such approximation,we are able to accelerate the subspacecomputation by the orders of the magnitude without compromising estimation accuracy.Furthermore,we drive a theoretical error bound for the suggested scheme to ensure the accuracy of the approximation.As validated by the simulation results,the DOA estimation accuracy of the proposed algorithm,eficient multiple signal classification(E-MUSIC)s high,closely tracks standardMUSIC,and outperforms the well-known algorithms with tremendouslyreduced time complexity.Thus,the devised method can realize high-resolutionreal-time target detection in the emerging multiple input and multiple output(MIMO)automotive radar systems.

关 键 词：Computational complexity Direction of arrival(DOA)estimation Frequency-modulated continuous-wave(FMCW)radar Subspace algorithms 

分 类 号：TN911.23[电子电信—通信与信息系统]