Underdetermined direction-of-departure and direction-of-arrival estimation in bistatic multiple-input multiple-output radar

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

13 Scopus Citations
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  • Frankie K.W. Chan
  • H. C. So
  • Lei Huang
  • Long-Ting Huang

Related Research Unit(s)


Original languageEnglish
Pages (from-to)284-290
Journal / PublicationSignal Processing
Publication statusPublished - Nov 2014


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.

Research Area(s)

  • Alternating optimization, Direction-of-arrival estimation, Direction-of-departure estimation, Maximum likelihood estimator, Subspace method