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

被引：0
|
作者：
Rojhani, Neda [1 ]
Greco, Maria Sabrina [1 ]
Gini, Fulvio [1 ]
机构：
[1] Univ Pisa, Dept Informat Engn, Pisa, Italy
来源：
FRONTIERS IN SIGNAL PROCESSING | 2022年 / 2卷
关键词：
Cramer-Rao lower bounds (CRLBs); MIMO radar; location and velocity estimation; performance analysis; complex elliptically symmetric (CES) distributed; complex t-distribution; TARGET LOCALIZATION ACCURACY; GAUSSIAN DISTRIBUTION; PARAMETER-ESTIMATION; STATISTICAL-ANALYSIS; COHERENT; BOUNDS;
D O I：
10.3389/frsip.2022.822285
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
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 Cramer-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-Cramer-Rao lower bounds (CRLBs), MIMO radar, location and velocity estimation, performance analysis, complex elliptically symmetric (CES) distributed, and complex t-distribution.
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页数：20
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