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Electronics 2018, 7(3), 29; https://doi.org/10.3390/electronics7030029

Maximum Likelihood-Based Methods for Target Velocity Estimation with Distributed MIMO Radar

1,†
,
1,†,* , 2
and
3
1
State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing 210096, China
2
School of Electronic and Information, Shanghai Dianji University, Shanghai 201306, China
3
Science and Technology on Electromagnetic Scattering Laboratory, Shanghai 200438, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 22 January 2018 / Revised: 19 February 2018 / Accepted: 26 February 2018 / Published: 28 February 2018
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Abstract

The estimation problem for target velocity is addressed in this in the scenario with a distributed multi-input multi-out (MIMO) radar system. A maximum likelihood (ML)-based estimation method is derived with the knowledge of target position. Then, in the scenario without the knowledge of target position, an iterative method is proposed to estimate the target velocity by updating the position information iteratively. Moreover, the Carmér-Rao Lower Bounds (CRLBs) for both scenarios are derived, and the performance degradation of velocity estimation without the position information is also expressed. Simulation results show that the proposed estimation methods can approach the CRLBs, and the velocity estimation performance can be further improved by increasing either the number of radar antennas or the information accuracy of the target position. Furthermore, compared with the existing methods, a better estimation performance can be achieved. View Full-Text
Keywords: CRLB; distributed multi-input multi-output (MIMO) radar; moving target; velocity estimation CRLB; distributed multi-input multi-output (MIMO) radar; moving target; velocity estimation
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Cao, Z.; Chen, P.; Chen, Z.; He, X. Maximum Likelihood-Based Methods for Target Velocity Estimation with Distributed MIMO Radar. Electronics 2018, 7, 29.

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