Analysis of Sparse MIMO Radar

TL;DR

This paper develops a theoretical framework for sparse MIMO radar target recovery using compressive sensing, providing bounds on detectability and resolution, validated through simulations.

Contribution

It introduces a novel theoretical analysis of sparse MIMO radar recoverability and resolution limits using compressive sensing techniques.

Findings

Bounds on the number of detectable targets

Resolution limits in noisy environments

Validation through numerical simulations

Abstract

We consider a multiple-input-multiple-output radar system and derive a theoretical framework for the recoverability of targets in the azimuth-range domain and the azimuth-range-Doppler domain via sparse approximation algorithms. Using tools developed in the area of compressive sensing, we prove bounds on the number of detectable targets and the achievable resolution in the presence of additive noise. Our theoretical findings are validated by numerical simulations.