DocumentCode
1670510
Title
Diagonal Loading Techniques to Relax Sample Support Requirement in Airborne Bistatic STAP
Author
Duan, Rui ; Wang, Xuegang ; Jiang, Chaoshu ; Chen, Zhuming
Author_Institution
Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2007
Firstpage
649
Lastpage
652
Abstract
In this paper, we concentrate on the employment of diagonal loading to relax sample size requirement of airborne bistatic STAP. Due to the independent motion effects of the receiver and transmitter, bistatic clutter generally appears more severely nonstationary in the range dimension than the counterpart of monostatic system. This leads to the shortage of IID training data samples and inadequate estimation of the clutter-plus-noise covariance matrix for bistatic STAP, which greatly degrades the performance of bistatic STAP. In this work, we first make a comparison of sample support in different bistatic scenarios and then propose to further abate the required sample support by combining the diagonal loading techniques with the reduced-dimension STAP algorithm. Simulation results manifest that the satisfying performance of bistatic STAP can be obtained by using the proposed method in the bistatic geometries where the training data is extremely insufficient.
Keywords
airborne radar; covariance matrices; radar clutter; radar receivers; radar signal processing; radar transmitters; space-time adaptive processing; IID training data samples; airborne bistatic STAP; bistatic radar clutter; clutter-plus-noise covariance matrix; diagonal loading techniques; independent motion effects; receiver; sample support requirement; space-time adaptive processing; transmitter; Airborne radar; Chaos; Clutter; Covariance matrix; Degradation; Frequency; Geometry; Testing; Training data; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
Conference_Location
Kokura
Print_ISBN
978-1-4244-1473-4
Type
conf
DOI
10.1109/ICCCAS.2007.4348137
Filename
4348137
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