Paper Info
Title
Reduced-dimension space-time adaptive processing based on angle-Doppler correlation coefficient.
Abstract
Traditional space-time adaptive processing (STAP) is a strategy for clutter suppression in airborne radar, which requires a large number of computational complexity and secondary data. In order to address the problem, reduced-dimension (RD) STAP is generally used. We propose a novel RD STAP through searching the best channels as the auxiliary channels to cancel the interference. Based on the estimation of the clutter Fourier basis vectors offline, a parameter named angle-Doppler correlation coefficient (ADC 2) is constructed to evaluate the capability of each auxiliary channel in clutter suppression, and the best sets of RD channels can be selected. The proposed algorithm can achieve the best detection performance with the fixed number of auxiliary channel. When the degrees of freedom (DOF) are restricted to a small value, only one auxiliary channel is needed to guarantee the SINR loss less than 3 dB. Therefore, the requirement of the training sample can be reduced, which makes the proposed approach more suitable for the heterogeneous clutter environments.
Year
DOI
Venue
2016
10.1186/s13634-016-0395-2
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
Airborne radar, Space-time adaptive processing, Reduced-dimension, Clutter covariance matrix
Computer science,Artificial intelligence,Basis function,Space-time adaptive processing,Radar,Computer vision,Correlation coefficient,Clutter,Communication channel,Algorithm,Speech recognition,Constant false alarm rate,Computational complexity theory
Journal
Volume
Issue
ISSN
2016
1
1687-6180
Citations 
PageRank 
References 
0
0.34
9
Authors
4
Name
Order
Citations
PageRank
Ruiyang Li100.34
Jun Li2172.99
Wei Zhang383.87
Zishu He422854.71