Target Localization with a Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint EVD

TL;DR

This paper introduces a novel tensor-based target localization method for coprime multistatic MIMO radar systems that leverages coupled canonical polyadic decomposition and joint eigenvalue decomposition to improve accuracy and reduce computational complexity.

Contribution

It proposes a new joint EVD-based algorithm for coupled CPD in MIMO radar, enabling efficient and accurate target localization without matched filtering.

Findings

Outperforms existing tensor-based localization methods

Reduces computational complexity via joint EVD approach

Achieves accurate target localization in experimental tests

Abstract

This paper addresses target localization using a multistatic multiple-input multiple-output (MIMO) radar system with coprime L-shaped receive arrays (CLsA). A target localization method is proposed by modeling the observed signals as tensors that admit a coupled canonical polyadic decomposition (C-CPD) model without matched filtering. It consists of a novel joint eigenvalue decomposition (J-EVD) based (semi-)algebraic algorithm, and a post-processing approach to determine the target locations by fusing the direction-of-arrival estimates extracted from J-EVD-based CCPD results. Particularly, by leveraging the rotational invariance of Vandermonde structure in CLsA, we convert the CCPD problem into a J-EVD problem, significantly reducing its computational complexity. Experimental results show that our method outperforms existing tensor-based ones.