DocumentCode :
1158237
Title :
Two-dimensional pulse-to-pulse canceller of ground clutter in airborne radar
Author :
Li, Xiao-Ming ; Feng, Da-Zheng ; Liu, Han-Wen ; Xing, Meng-Dao ; Luo, Dan
Author_Institution :
Nat. Lab. for Radar Signal Process., Xidian Univ., Xi´an
Volume :
3
Issue :
2
fYear :
2009
fDate :
4/1/2009 12:00:00 AM
Firstpage :
133
Lastpage :
143
Abstract :
It is well known that in the airborne radar, the location of the ground clutter spectrum in the angle-Doppler space is dependent mainly on the platform velocity and radar parameters. The authors propose a two-dimensional pulse-to-pulse canceller (TDPC) that can make full use of such prior information. The more detailed formulations of the ground clutter model and the signal model are given in a matrix-vector form. The least-squares-typical cost function associated with the filter coefficient matrix of the TDPC is established on the basis of the ground clutter model and the signal model. Like the classical displaced phase centre antenna (DPCA) processing, the proposed TDPC is also a spatial-temporal suppressor of ground clutter and can decrease the ground clutter signals, even though the DPCA condition is not satisfied. The proposed TDPC can also be used as an efficient pre-filtering tool before the conventional moving target indication (MTI) processing and the classical adaptive processing. Moreover, if only the TDPC plus the conventional MTI is used, it takes less computational time than the adaptive canceller. Experimental results show that the proposed TDPC has the satisfactory ground clutter suppression capability by using both simulated data and measured data.
Keywords :
airborne radar; filtering theory; interference suppression; least squares approximations; radar clutter; 2D pulse-to-pulse canceller; adaptive processing; airborne radar; angle-Doppler space; displaced phase centre antenna; filter coefficient matrix; ground clutter suppression; least-squares-typical cost function; moving target indication; signal model; spatial-temporal suppressor;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn:20080108
Filename :
4782977
Link To Document :
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