Parameter estimation and identifiability in bistatic multiple-input multiple-output radar

Frankie K.W. Chan; H. C. So; Lei Huang; Long-Ting Huang

doi:10.1109/TAES.2015.130502

Parameter estimation and identifiability in bistatic multiple-input multiple-output radar

Frankie K.W. Chan
, H. C. So
, Lei Huang^*
, Long-Ting Huang

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

48 Citations (Scopus)

Abstract

An iterative ESPRIT-like algorithm is devised for direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in multiple-input multiple-output radar. Our proposal can handle identical DODs and DOAs, and provides autopairing of the angle parameters. Furthermore, it is proved that the multiple signal classification methodology cannot identify (MN - 1) targets, where M and N are the element numbers in the transmit and receive antennas, respectively. Simulation results are included to evaluate the performance of the proposed algorithm.

Original language	English
Article number	7272851
Pages (from-to)	2047-2056
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	51
Issue number	3
Online published	15 Feb 2015
DOIs	https://doi.org/10.1109/TAES.2015.130502
Publication status	Published - Jul 2015

Research Keywords

Direction-of-arrival estimation
Manganese
MIMO radar
Multiple signal classification
Polynomials
US Department of Defense

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title = "Parameter estimation and identifiability in bistatic multiple-input multiple-output radar",

abstract = "An iterative ESPRIT-like algorithm is devised for direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in multiple-input multiple-output radar. Our proposal can handle identical DODs and DOAs, and provides autopairing of the angle parameters. Furthermore, it is proved that the multiple signal classification methodology cannot identify (MN - 1) targets, where M and N are the element numbers in the transmit and receive antennas, respectively. Simulation results are included to evaluate the performance of the proposed algorithm.",

keywords = "Direction-of-arrival estimation, Manganese, MIMO radar, Multiple signal classification, Polynomials, US Department of Defense",

author = "Chan, \{Frankie K.W.\} and So, \{H. C.\} and Lei Huang and Long-Ting Huang",

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AU - Chan, Frankie K.W.

AU - So, H. C.

AU - Huang, Lei

AU - Huang, Long-Ting

PY - 2015/7

Y1 - 2015/7

N2 - An iterative ESPRIT-like algorithm is devised for direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in multiple-input multiple-output radar. Our proposal can handle identical DODs and DOAs, and provides autopairing of the angle parameters. Furthermore, it is proved that the multiple signal classification methodology cannot identify (MN - 1) targets, where M and N are the element numbers in the transmit and receive antennas, respectively. Simulation results are included to evaluate the performance of the proposed algorithm.

AB - An iterative ESPRIT-like algorithm is devised for direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in multiple-input multiple-output radar. Our proposal can handle identical DODs and DOAs, and provides autopairing of the angle parameters. Furthermore, it is proved that the multiple signal classification methodology cannot identify (MN - 1) targets, where M and N are the element numbers in the transmit and receive antennas, respectively. Simulation results are included to evaluate the performance of the proposed algorithm.

KW - Direction-of-arrival estimation

KW - Manganese

KW - MIMO radar

KW - Multiple signal classification

KW - Polynomials

KW - US Department of Defense

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DO - 10.1109/TAES.2015.130502

M3 - RGC 21 - Publication in refereed journal

SN - 0018-9251

VL - 51

SP - 2047

EP - 2056

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 3

M1 - 7272851

ER -

Parameter estimation and identifiability in bistatic multiple-input multiple-output radar

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