Abstract

Multiple-input multiple-output (MIMO) radar systems with widely separated antennas provide spatial diversity by viewing the targets from different angles. In this paper, we use a novel approach to accurately estimate properties (position, velocity) of multiple targets using such systems by employing sparse modeling. We also introduce a new metric to analyze the performance of the radar system. We propose an adaptive mechanism for optimal energy allocation at the different transmit antennas. We show that this adaptive energy allocation mechanism significantly improves in performance over MIMO radar systems that transmit fixed equal energy across all the antennas. We also demonstrate accurate reconstruction from very few samples by using compressive sensing at the receivers.

Original languageEnglish
Article number5989873
Pages (from-to)5315-5325
Number of pages11
JournalIEEE Transactions on Signal Processing
Volume59
Issue number11
DOIs
StatePublished - Nov 2011

Keywords

  • Adaptive
  • compressive sensing
  • multiple targets
  • multiple-input multiple-output (MIMO) radar
  • optimal design
  • sparse modeling
  • widely separated antennas

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