A Two-Stage Sparsity-Based Method for Location and Doppler Estimation in Bistatic Automotive Radar

Recently, sparse representation of radar signals has attracted a lot of interest when source signals carry a sparse structure, typically used for direction-of-arrival (DOA) estimation. It offers the ability of manipulating the signal model to fit the application’s needs and it may have super-resolution capability. However, signals carrying range and Doppler information can also have a sparse representation, which is an area of research that is often overlooked. In this paper, we propose a method for two-dimensional (2D)-localisation and Doppler estimation in a bistatic automotive application, by adopting the concept of group-sparsity (GS). We show through computer simulations the success of the proposed method in outperforming the state-of-art.