TY - GEN
T1 - Moving target estimation using distributed MIMO radar in non-homogeneous clutter
AU - Wang, Pu
AU - Li, Hongbin
AU - Himed, Braham
PY - 2010
Y1 - 2010
N2 - In this paper, we consider parameter estimation for moving target detection using a distributed MIMO radar, where the multistatic transmit-receive configuration causes non-homogeneous clutter. Specifically, the clutter power for the same resolution cell may vary significantly from one transmit-receive pair to another, due to azimuthselective backscattering. Moreover, the clutter power may also vary across resolution cells in the neighborhood of the test cell. In this work, the nonhomogeneous clutter is modeled using a subspace approach, whereby the subspace is spanned by a few Fourier bases and the non-homogeneity of the clutter is captured by coefficients that vary with different transmitreceive pairs and/or different resolution cells. The choice of the Fourier bases is based the fact that the clutter Doppler spectrum is bandlimited. We develop a maximum likelihood (ML) estimator for the parameters associated with the target and clutter. The Cramér-Rao bound (CRB) for velocity estimation is also derived. Numerical results show that the proposed estimator outperforms an alternative solution that ignores the non-homogeneous nature of the clutter.
AB - In this paper, we consider parameter estimation for moving target detection using a distributed MIMO radar, where the multistatic transmit-receive configuration causes non-homogeneous clutter. Specifically, the clutter power for the same resolution cell may vary significantly from one transmit-receive pair to another, due to azimuthselective backscattering. Moreover, the clutter power may also vary across resolution cells in the neighborhood of the test cell. In this work, the nonhomogeneous clutter is modeled using a subspace approach, whereby the subspace is spanned by a few Fourier bases and the non-homogeneity of the clutter is captured by coefficients that vary with different transmitreceive pairs and/or different resolution cells. The choice of the Fourier bases is based the fact that the clutter Doppler spectrum is bandlimited. We develop a maximum likelihood (ML) estimator for the parameters associated with the target and clutter. The Cramér-Rao bound (CRB) for velocity estimation is also derived. Numerical results show that the proposed estimator outperforms an alternative solution that ignores the non-homogeneous nature of the clutter.
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M3 - Conference contribution
AN - SCOPUS:77956589588
SN - 9789955690184
T3 - 4th Microwave and Radar Week MRW-2010 - 11th International Radar Symposium, IRS 2010 - Conference Proceedings
SP - 186
EP - 189
BT - 4th Microwave and Radar Week MRW-2010 - 11th International Radar Symposium, IRS 2010 - Conference Proceedings
T2 - 4th Microwave and Radar Week MRW-2010 - 11th International Radar Symposium, IRS 2010
Y2 - 16 June 2010 through 18 June 2010
ER -