TY - GEN
T1 - Target velocity estimation and CRB with distributed MIMO radar in non-homogeneous AR-modeled disturbances
AU - Wang, Pu
AU - Li, Hongbin
AU - Himed, Braham
PY - 2012
Y1 - 2012
N2 - In this paper, we examine the target velocity estimation with distributed multi-input multi-output (MIMO) radars in non-homogeneous environments, where the disturbance signal (clutter and noise) exhibits non-homogeneity in not only power but also covariance structure from one transmit-receive antenna pair to another as well as across different test cells. Specifically, a set of distinctive auto-regressive (AR) models are used to model such non-homogeneous disturbance signals for different transmit-receive pairs. The maximum likelihood (ML) estimator for the target velocity parameter is developed. Corresponding Cramér-Rao bounds, in both the exact and asymptotic forms, respectively, are examined to shed additional light to the problem. Numerical results are presented to demonstrate of the effectiveness of the proposed method.
AB - In this paper, we examine the target velocity estimation with distributed multi-input multi-output (MIMO) radars in non-homogeneous environments, where the disturbance signal (clutter and noise) exhibits non-homogeneity in not only power but also covariance structure from one transmit-receive antenna pair to another as well as across different test cells. Specifically, a set of distinctive auto-regressive (AR) models are used to model such non-homogeneous disturbance signals for different transmit-receive pairs. The maximum likelihood (ML) estimator for the target velocity parameter is developed. Corresponding Cramér-Rao bounds, in both the exact and asymptotic forms, respectively, are examined to shed additional light to the problem. Numerical results are presented to demonstrate of the effectiveness of the proposed method.
KW - Distributed MIMO radar
KW - auto-regressive model
KW - maximum likelihood estimation
KW - target velocity estimation
UR - http://www.scopus.com/inward/record.url?scp=84866146528&partnerID=8YFLogxK
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U2 - 10.1109/IRS.2012.6233298
DO - 10.1109/IRS.2012.6233298
M3 - Conference contribution
AN - SCOPUS:84866146528
SN - 9781457718359
T3 - Proceedings International Radar Symposium
SP - 109
EP - 112
BT - 2012 13th International Radar Symposium, IRS-2012
T2 - 2012 13th International Radar Symposium, IRS-2012
Y2 - 23 May 2012 through 25 May 2012
ER -