TY - GEN
T1 - Knowledge-Aided detection of range-spread target in distributed MIMO radar
AU - Gao, Yongchan
AU - Li, Hongbin
AU - Himed, Braham
N1 - Publisher Copyright:
© 2017 DGON.
PY - 2017/8/10
Y1 - 2017/8/10
N2 - We examine the moving range-spread target in distributed multi-input multi-output (MIMO) radar. More precisely, a knowledge-Aided (KA) model for nonhomogenous disturbance is proposed. We model the covariance matrices for different transmit-receive (Tx-Rx) pairs as random matrices, which share the same matrix structure but with different power levels for the non-homogeneous clutter powers across different Tx-Rx pairs. Two detectors are proposed. The first is a KA generalized likelihood ratio test (GLRT) without range training. The second is an ad-doc KA GLRT with range training. Computer simulations and analyses show the performance improvements offered by the proposed detectors in heterogeneous scenarios..
AB - We examine the moving range-spread target in distributed multi-input multi-output (MIMO) radar. More precisely, a knowledge-Aided (KA) model for nonhomogenous disturbance is proposed. We model the covariance matrices for different transmit-receive (Tx-Rx) pairs as random matrices, which share the same matrix structure but with different power levels for the non-homogeneous clutter powers across different Tx-Rx pairs. Two detectors are proposed. The first is a KA generalized likelihood ratio test (GLRT) without range training. The second is an ad-doc KA GLRT with range training. Computer simulations and analyses show the performance improvements offered by the proposed detectors in heterogeneous scenarios..
UR - http://www.scopus.com/inward/record.url?scp=85028596467&partnerID=8YFLogxK
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U2 - 10.23919/IRS.2017.8008232
DO - 10.23919/IRS.2017.8008232
M3 - Conference contribution
AN - SCOPUS:85028596467
T3 - Proceedings International Radar Symposium
BT - 2017 18th International Radar Symposium, IRS 2017
A2 - Rohling, Hermann
T2 - 18th International Radar Symposium, IRS 2017
Y2 - 28 June 2017 through 30 June 2017
ER -