A novel sparse array (SA) structure is proposed based on the maximum inter-element
spacing (IES) constraint (MISC) criterion. Compared with the traditional MISC array, the …

We propose iterative detection and decoding (IDD) algorithms with low-density parity-check
(LDPC) codes for multiple-input multiple-output (MIMO) systems operating in block-fading …

In this paper, we propose novel l 1-regularized space-time adaptive processing (STAP)
algorithms with a generalized sidelobe canceler architecture for airborne radar applications …

We present a novel sparsity-based space-time adaptive processing (STAP) technique based
on the alternating direction method to overcome the severe performance degradation …

Range dependent clutter suppression is a challenging problem in non-side-looking airborne
radar, especially in the presence of range ambiguity. To deal with this problem, this paper …

In this paper, a reduced-rank scheme with joint iterative optimization is presented for
direction of arrival estimation. A rank-reduction matrix and an auxiliary reduced-rank …

To improve the performance of the recently developed weighted least-squares-based
iterative adaptive approach (IAA) in space–time adaptive processing (STAP) for weak or …

In this paper, we address the problem of detecting relatively small targets in the presence of
Gaussian disturbance with unknown covariance matrix. To this end, we jointly exploit the …

This study proposes novel sparsity-aware space–time adaptive processing (SA-STAP)
algorithms with L1-norm regularisation for airborne phased-array radar applications. The …

In this paper, novel knowledge‐aided space‐time adaptive processing (KA‐STAP)
algorithms using sparse representation/recovery (SR) techniques by exploiting the spatio …