Title
Compressive sensing-based range and angle estimation for nested FDA radar.
Abstract
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.
Year
Venue
Field
2015
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Radar,Telecommunications,Multiple signal classification,Synthetic aperture radar,Computer science,Algorithm,Smoothing,Radar antennas,Nested arrays,Snapshot (computer storage),Compressed sensing
DocType
ISSN
Citations 
Conference
2309-9402
2
PageRank 
References 
Authors
0.41
3
4
Name
Order
Citations
PageRank
Jie Xiong1325.62
Wen-Qin Wang236845.93
Hui Chen3175.69
Huai-Zong Shao45013.46