Adaptive design for distributed MIMO radar using sparse modeling

Multiple Input Multiple Output (MIMO) radar systems with widely separated antennas provide spatial diversity gain by viewing the targets from different angles. In this paper, we propose an approach to accurately estimate the properties (position, velocity) of multiple targets using such systems by employing sparse modeling. We also propose a new metric to analyze the performance of the radar system. We develop an adaptive mechanism for optimal energy allocation at different transmitters. We show that this adaptive mechanism outperforms MIMO radar systems that transmit fixed equal energy across all the antennas.