Joint Beamforming and Association Design for MIMO Radar

TL;DR

This paper explores the joint design of MIMO radar beamforming and data association, introducing an ambiguity graph to balance detection performance and association complexity.

Contribution

It proposes a novel framework that couples beamforming and data association via an ambiguity graph, enabling optimized trade-offs in radar target detection.

Findings

Introduces the ambiguity graph concept for joint design

Provides methods to optimize beamforming and association schemes

Discusses strategies for near-optimal detection-association trade-offs

Abstract

A critical task of a radar receiver is data association, which assigns radar target detections to target filter tracks. Motivated by its importance, this paper introduces the problem of jointly designing multiple-input multiple-output (MIMO) radar transmit beam patterns and the corresponding data association schemes. We show that the coupling of the beamforming and the association subproblems can be conveniently parameterized by what we term an ambiguity graph, which prescribes if two targets are to be disambiguated by the beamforming design or by the data association scheme. The choice of ambiguity graph determines which of the two subproblems is more difficult and therefore allows to trade performance of one versus the other, resulting in a detection-association trade-off. This paper shows how to design both the beam pattern and the association scheme for a given ambiguity graph. It then discusses how to choose an ambiguity graph achieving close to the optimal detection-association trade-off.