A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar

TL;DR

This paper introduces a deterministic iterative antenna placement algorithm for compressive sensing MIMO radar that optimizes measurement matrix coherence, leading to improved radar performance over existing randomized methods.

Contribution

The paper proposes a novel deterministic algorithm for antenna placement that minimizes measurement matrix coherence in MIMO radar, surpassing prior randomized approaches.

Findings

The proposed algorithm significantly reduces matrix coherence.

Numerical simulations show improved radar performance.

Outperforms benchmark placement algorithms even after expurgation.

Abstract

In colocated compressive sensing MIMO radar, the measurement matrix is specified by antenna placement. To guarantee an acceptable recovery performance, this measurement matrix should satisfy certain properties, e.g., a small coherence. Prior work in the literature often employs randomized placement algorithms which optimize the prior distribution of antenna locations. The performance of these algorithms is suboptimal, as they can be easily enhanced via expurgation. In this paper, we suggest an iterative antenna placement algorithm which determines the antenna locations deterministically. The proposed algorithm locates jointly the antenna elements on the transmit and receive arrays, such that the coherence of the resulting measurement matrix is minimized. Numerical simulations demonstrate that the proposed algorithm outperforms significantly the benchmark, even after expurgation.