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

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 t...

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Main Authors: Neda Rojhani, Maria Sabrina Greco, Fulvio Gini
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Signal Processing
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frsip.2022.822285/full
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author Neda Rojhani
Maria Sabrina Greco
Fulvio Gini
author_facet Neda Rojhani
Maria Sabrina Greco
Fulvio Gini
author_sort Neda Rojhani
collection DOAJ
description 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.
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spelling doaj.art-c91e86b833274e20a77b1ed7fbfe96112022-12-21T18:13:07ZengFrontiers Media S.A.Frontiers in Signal Processing2673-81982022-03-01210.3389/frsip.2022.822285822285CRLBs for Location and Velocity Estimation for MIMO Radars in CES-Distributed ClutterNeda RojhaniMaria Sabrina GrecoFulvio GiniIn 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.https://www.frontiersin.org/articles/10.3389/frsip.2022.822285/fullCramér–Rao lower bounds (CRLBs)MIMO radarlocation and velocity estimationperformance analysiscomplex elliptically symmetric (CES) distributedcomplex t-distribution
spellingShingle Neda Rojhani
Maria Sabrina Greco
Fulvio Gini
CRLBs for Location and Velocity Estimation for MIMO Radars in CES-Distributed Clutter
Frontiers in Signal Processing
Cramér–Rao lower bounds (CRLBs)
MIMO radar
location and velocity estimation
performance analysis
complex elliptically symmetric (CES) distributed
complex t-distribution
title CRLBs for Location and Velocity Estimation for MIMO Radars in CES-Distributed Clutter
title_full CRLBs for Location and Velocity Estimation for MIMO Radars in CES-Distributed Clutter
title_fullStr CRLBs for Location and Velocity Estimation for MIMO Radars in CES-Distributed Clutter
title_full_unstemmed CRLBs for Location and Velocity Estimation for MIMO Radars in CES-Distributed Clutter
title_short CRLBs for Location and Velocity Estimation for MIMO Radars in CES-Distributed Clutter
title_sort crlbs for location and velocity estimation for mimo radars in ces distributed clutter
topic Cramér–Rao lower bounds (CRLBs)
MIMO radar
location and velocity estimation
performance analysis
complex elliptically symmetric (CES) distributed
complex t-distribution
url https://www.frontiersin.org/articles/10.3389/frsip.2022.822285/full
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