DocumentCode :
3518996
Title :
Space-time-range three dimensional adaptive processing
Author :
Zhu, Shengqi ; Liao, Guisheng ; Qu, Yi ; Zhou, Zhengguang
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
2037
Lastpage :
2040
Abstract :
Space-time adaptive processing (STAP) is an effective tool for moving target detection. Conventional STAP methodologies process the angular and Doppler two dimensional data vector. In practical applications, adjacent range cells are statistically dependent due to filtering, since the point spreading function of a target is not an ideal delta function. In this paper, a novel approach incorporating range (fast time) information in STAP is presented for clutter rejection, which we term space-time-range adaptive processing (STRAP). This method takes advantage of the correlation information of neighboring range cells. Therefore, the stationary clutter can be suppressed better compared with traditional STAP algorithms ignoring fast time information, resulting in more effective moving target detection. The validity of the STRAP algorithm is verified by the experiments of processing the real measured data of the three-channel X-band radar and MCARM radar systems.
Keywords :
airborne radar; object detection; optical transfer function; radar clutter; space-time adaptive processing; statistical analysis; synthetic aperture radar; adjacent range cells; clutter rejection; moving target detection; point spreading function; space-time-range three dimensional adaptive processing; Airborne radar; Covariance matrix; Doppler radar; Object detection; Phased arrays; Radar clutter; Radar detection; Radar measurements; Signal processing algorithms; Synthetic aperture radar; Doppler beam sharpening (DBS); Ground moving target indication (GMTI); Space-time adaptive processing (STAP); Space-time-range adaptive processing (STRAP); Synthetic aperture radar (SAR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4960014
Filename :
4960014
Link To Document :
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