TY - GEN
T1 - Moving target detection for distributed MIMO radar with imperfect waveform separation
AU - Wang, Pu
AU - Li, Hongbin
AU - Himed, Braham
PY - 2013
Y1 - 2013
N2 - In this paper, we consider the problem of detecting a moving target with a distributed multiple-input multiple-output (MIMO) radar when perfect waveform separations at the local receivers are no longer valid. By formulating a composite hypothesis testing problem with a subspace modeling of the target residual, the generalized likelihood ratio test (GLRT) is developed by deriving the maximum likelihood (ML) estimates of the unknown parameters. Simulation results are provided to compare the proposed GLRT solution with existing MIMO detectors that do not account for target residuals.
AB - In this paper, we consider the problem of detecting a moving target with a distributed multiple-input multiple-output (MIMO) radar when perfect waveform separations at the local receivers are no longer valid. By formulating a composite hypothesis testing problem with a subspace modeling of the target residual, the generalized likelihood ratio test (GLRT) is developed by deriving the maximum likelihood (ML) estimates of the unknown parameters. Simulation results are provided to compare the proposed GLRT solution with existing MIMO detectors that do not account for target residuals.
KW - Distributed MIMO radar
KW - generalized likelihood ratio test
KW - hypothesis testing
KW - moving target detection
UR - http://www.scopus.com/inward/record.url?scp=84884867676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84884867676&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2013.6586004
DO - 10.1109/RADAR.2013.6586004
M3 - Conference contribution
AN - SCOPUS:84884867676
SN - 9781467357920
T3 - IEEE National Radar Conference - Proceedings
BT - IEEE Radar Conference 2013
T2 - 2013 IEEE Radar Conference: "The Arctic - The New Frontier", RadarCon 2013
Y2 - 29 April 2013 through 3 May 2013
ER -