Waveform optimization in a MIMO Radar Benchmark environment

Multiple-input and multiple-output (MIMO) radar systems have garnered significant interest due to their ability to generate additional target radar returns. These additional returns have the potential to improve tracking performance in terms of target tracking accuracy and resource use. This effort examines radar pulse control for target tracking optimization in a MIMO radar architecture. Specifically, an optimization algorithm based on the Cramér-Rao lower bound on the target state is implemented. The performance of the optimized tracker is compared to a conventional tracking algorithm in the Benchmark radar simulation environment. The difficulties in achieving significant performance improvements through MIMO techniques in a conventional radar system architectures are elucidated.