The paper proposes a sparse recovery STAP algorithm based on prior knowledge for sample selection to solve existing problems.

In this paper, we propose a sparse recovery STAP algorithm for sample screening based on prior knowledge in an airborne multi-channel environment. The ...

A sparse recovery STAP algorithm based on prior knowledge for sample selection to solve existing problems in the airborne radar environment is proposed.

A NOVEL MULTI-CHANNEL SPARSE RECOVERY STAP ALGORITHM FOR SAMPLE SELECTION BASED ON PRIOR KNOWLEDGE. Niezipeng Kang, Yun Zhang, Gaopeng Li, Hang Ren, Harbin ...

A novel STAP algorithm based on sparse recovery technique, called CS-STAP, were presented. Instead of using conventional maximum likelihood estimation of ...

A Novel Multi-Channel Sparse Recovery STAP Algorithm for Sample Selection Based on Prior Knowledge. ... Application of an Improved MUSIC Algorithm in Ship-Borne ...

May 23, 2024 · The advantage of the SR STAP algorithm lies in breaking through the lower limit of the traditional statistical STAP methods' training sample ...

An elliptical clustering model is given to describe the structured sparsity, based on which a novel sparse recovery STAP method named SSR-STAP is developed ...

This paper proposes a novel training sample selection method for STAP based on clutter sparse recovery. This method makes full use of the sparse property of ...

Jul 3, 2023 · In this study, the authors propose a novel gridless SR-STAP method in the continuous spatial-temporal domain to address the issue of off-grid effects.