DocumentCode
3447210
Title
Adaptive pulse compression of orthogonal transmitted waveforms based on MPDR-MWF
Author
Jingjun Li ; Yonghua Jiang ; Bo Dan ; Weiwei Gao
Author_Institution
Dept. of Electron. Inf. Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
fYear
2012
fDate
16-18 Oct. 2012
Firstpage
1528
Lastpage
1532
Abstract
A new adaptive pulse compression (APC) method has been proposed in this paper in order to restrain the mutual interference of the orthogonal transmitted waveforms. Based on the minimum power distortionless response (MPDR) this method is combined by the generalized sidelobe canceller (GSC) structure and the multistage wiener filter (MWF), which not only does not calculate the covariance matrix of signal samples and its inverse matrix, but also reduces the computational complexity compared with the APC method based on recursive minimum mean-square error (RMMSE) and generalized sidelobe canceller (GSC). Simulation results validate the new technique is more effective than the conventional matched filter (MF), and shows a similar behavior with the RMMSE and GSC algorithms.
Keywords
Wiener filters; computational complexity; covariance matrices; pulse compression; APC method; GSC structure; MPDR-MWF; RMMSE; adaptive pulse compression method; computational complexity; covariance matrix; generalized sidelobe canceller structure; inverse matrix; matched filter; minimum power distortionless response; multistage Wiener filter; mutual interference; orthogonal transmitted waveforms; recursive minimum mean-square error; Covariance matrix; Interference; MIMO radar; Matched filters; Vectors; Wiener filters; APC; MPDR-MWF; computational complexity; orthogonal transmitted waveforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-0965-3
Type
conf
DOI
10.1109/CISP.2012.6469903
Filename
6469903
Link To Document