References

• We consider sparse sensing-based distributed MIMO radars, which exploit the sparsity of the targets in the space to achieve good target estimation performance of MIMO radars but with fewer measurements. • In the model of sparse sensing-based distributed MIMO radars, the sensing matrix is block-diagonal and the sparse vector to be recovered consists of equal-length sub-vectors that have the same sparsity profile. • This paper develops the theoretical requirements and performance guarantees for the application of block sparse recovery technique in this context. • The results confirm that exploiting the block sparsity of the target vector can reduce the number of measurements needed for target estimation, or can result in improved target estimation for the same number of measurements