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 language | English |
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Article number | 5989873 |
Pages (from-to) | 5315-5325 |
Number of pages | 11 |
Journal | IEEE Transactions on Signal Processing |
Volume | 59 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2011 |
Keywords
- Adaptive
- compressive sensing
- multiple targets
- multiple-input multiple-output (MIMO) radar
- optimal design
- sparse modeling
- widely separated antennas