CRLBs for Location and Velocity Estimation for MIMO Radars in CES-Distributed Clutter

Frontiers in Signal Processing

关键词: Cramér–Rao lower bounds (CRLBs);    MIMO radar;    location and velocity estimation;    performance analysis;    complex elliptically symmetric (CES) distributed;    complex t-distribution;   

DOI  :  10.3389/frsip.2022.822285

来源: DOAJ

【 摘 要 】

In this article, we investigate the problem of jointly estimating target location and velocity for widely separated multiple-input multiple-output (MIMO) radar operating in correlated non-Gaussian clutter, modeled by a complex elliptically symmetric (CES) distribution. More specifically, we derive the Cramér–Rao lower bounds (CRLBs) when the target is modeled by the Swerling 0 model and the clutter is complex t-distributed. We thoroughly analyze the impact of the clutter correlation and spikiness to provide accurate performance estimation. Index terms—Cramér–Rao lower bounds (CRLBs), MIMO radar, location and velocity estimation, performance analysis, complex elliptically symmetric (CES) distributed, and complex t-distribution.

【 授权许可】

Unknown