Antenna placement optimisation for compressed sensing-based distributed MIMO radar

Since a better localisation performance is achieved by exploiting the spatial diversity in the distributed multiple-input and multiple-output (MIMO) radar systems, the authors consider the problem of further improving this performance by optimising the antenna placement in this study. In the localisation processes, a novel compressed sensing-based method is proposed to exploit the target sparsity, where an over-complete dictionary matrix containing all the possible echo waveforms from the discretised area is first established. In addition, to further improve the localisation performance, a novel iterative method is proposed to minimise the mutual coherence of the dictionary matrix by optimising the antenna placement of both transmitters and receivers. Moreover, the theoretical distribution of the mutual coherence is derived, and an asymptotic performance with increasing the number of antennas is also provided. Simulation results demonstrate the localisation performance improvement for multiple targets by optimising the antenna placement in the distributed MIMO radar.