Power Allocation and Measurement Matrix Design for Block CS-Based Distributed MIMO Radars

摘要

Multiple-input multiple-output (MIMO) radars offer higher resolution, bettertarget detection, and more accurate target parameter estimation. Due to thesparsity of the targets in space-velocity domain, we can exploit CompressiveSensing (CS) to improve the performance of MIMO radars when the sampling rateis much less than the Nyquist rate. In distributed MIMO radars, block CSmethods can be used instead of classical CS ones for more performanceimprovement, because the received signal in this group of MIMO radars is ablock sparse signal in a basis. In this paper, two new methods are proposed toimprove the performance of the block CS-based distributed MIMO radars. Thefirst one is a new method for optimal energy allocation to the transmitters,and the other one is a new method for optimal design of the measurement matrix.These methods are based on the minimization of an upper bound of the sensingmatrix block-coherence. Simulation results show an increase in the accuracy ofmultiple targets parameters estimation for both proposed methods.