Predicted detection performance of MIMO radar

Chaoran Du; John S. Thompson; Yvan Petillot

doi:10.1109/LSP.2007.910312

Predicted detection performance of MIMO radar

Chaoran Du
, John S. Thompson
, Yvan Petillot

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

37 Citations (Scopus)

Abstract

It has been shown that multiple-input multiple-output (MIMO) radar systems can improve target detection performance significantly by exploiting the spatial diversity gain. We introduce the system model in which the radar target is composed of a finite number of small scatterers and derive the formula to evaluate the theoretical probability of detection for the system having an arbitrary array-target configuration. The results can be used to predict the detection performance of the actual MIMO radar without time-consuming simulations. © 2007 IEEE.

Original language	English
Pages (from-to)	83-86
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	15
DOIs	https://doi.org/10.1109/LSP.2007.910312
Publication status	Published - 2008

Keywords

Detection performance
Finite scatterers model
Multiple-input multiple-output (MIMO)
Radar
Spatial diversity

Access to Document

10.1109/LSP.2007.910312

Cite this

@article{c63dac97d0454158a44d1ab143c3bc43,

title = "Predicted detection performance of MIMO radar",

abstract = "It has been shown that multiple-input multiple-output (MIMO) radar systems can improve target detection performance significantly by exploiting the spatial diversity gain. We introduce the system model in which the radar target is composed of a finite number of small scatterers and derive the formula to evaluate the theoretical probability of detection for the system having an arbitrary array-target configuration. The results can be used to predict the detection performance of the actual MIMO radar without time-consuming simulations. {\textcopyright} 2007 IEEE.",

keywords = "Detection performance, Finite scatterers model, Multiple-input multiple-output (MIMO), Radar, Spatial diversity",

author = "Chaoran Du and Thompson, \{John S.\} and Yvan Petillot",

year = "2008",

doi = "10.1109/LSP.2007.910312",

language = "English",

volume = "15",

pages = "83--86",

journal = "IEEE Signal Processing Letters",

issn = "1070-9908",

publisher = "IEEE",

}

TY - JOUR

T1 - Predicted detection performance of MIMO radar

AU - Du, Chaoran

AU - Thompson, John S.

AU - Petillot, Yvan

PY - 2008

Y1 - 2008

N2 - It has been shown that multiple-input multiple-output (MIMO) radar systems can improve target detection performance significantly by exploiting the spatial diversity gain. We introduce the system model in which the radar target is composed of a finite number of small scatterers and derive the formula to evaluate the theoretical probability of detection for the system having an arbitrary array-target configuration. The results can be used to predict the detection performance of the actual MIMO radar without time-consuming simulations. © 2007 IEEE.

AB - It has been shown that multiple-input multiple-output (MIMO) radar systems can improve target detection performance significantly by exploiting the spatial diversity gain. We introduce the system model in which the radar target is composed of a finite number of small scatterers and derive the formula to evaluate the theoretical probability of detection for the system having an arbitrary array-target configuration. The results can be used to predict the detection performance of the actual MIMO radar without time-consuming simulations. © 2007 IEEE.

KW - Detection performance

KW - Finite scatterers model

KW - Multiple-input multiple-output (MIMO)

KW - Radar

KW - Spatial diversity

UR - https://www.scopus.com/pages/publications/67650174062

U2 - 10.1109/LSP.2007.910312

DO - 10.1109/LSP.2007.910312

M3 - Article

SN - 1070-9908

VL - 15

SP - 83

EP - 86

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

ER -

Predicted detection performance of MIMO radar

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this