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
Link To Document :
بازگشت