Sparsity-based MIMO noise radar for multiple target estimation

We solve a multiple moving-target estimation problem using a colocated multiple-input multiple-output (MIMO) radar system. Each antenna of the radar array transmits noise waveforms to achieve high resolution. These waveforms are further covered by codes that are inspired from code division multiple access (CDMA) to exploit code diversity. We formulate the measurement model using a sparse representation in an appropriate basis to estimate the unknown target parameters (delays, Dopplers) using support recovery algorithms. We demonstrate the performance of the proposed system using numerical simulations.