Abstract
In this paper, target localization using bistatic multiple-input multiple-output radar where the source number exceeds the sizes of the transmit and receive arrays, denoted by M and N, respectively, is addressed. We consider the Swerling II target in which the radar cross section varies in different pulses. Two algorithms for joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation of the targets are devised. The first one is a subspace-based estimator which is computationally simpler and can identify up to 2(M-1)(2N-1) sources, assuming that N ≥ M. The second is a maximum likelihood method with a higher estimation accuracy, where the DODs and DOAs are solved via alternating optimization. Simulation results are included to compare their mean square error performance with the Cramér-Rao lower bound. © 2014 Published by Elsevier B.V.
| Original language | English |
|---|---|
| Pages (from-to) | 284-290 |
| Journal | Signal Processing |
| Volume | 104 |
| Online published | 30 Apr 2014 |
| DOIs | |
| Publication status | Published - Nov 2014 |
Research Keywords
- Alternating optimization
- Direction-of-arrival estimation
- Direction-of-departure estimation
- Maximum likelihood estimator
- Subspace method
RGC Funding Information
- RGC-funded
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