Compressive sensing-based range and angle estimation for nested FDA radar
Jie Xiong, Wen-Qin Wang, Hui Chen, Huaizong Shao · 2015
This paper proposes a nested frequency diverse array (FDA) design scheme, which jointly utilizes FDA angle-range-dependent beampattern and nested array increased degrees-of-freedom (DOFs). In this case, the commonly used MUSIC algorithm fail to estimate multiple sources because of the source correlation. Furthermore, a compressive sensing-based range and angle estimation algorithm is proposed. While compared with traditional spatial smoothing (SS) based localization method, our proposed method requires less snapshots and better performance.