DocumentCode
321587
Title
A multichannel maximum likelihood estimation approach to radar imaging
Author
Jin, Dong-Xing ; Fang, Da-Gang ; Cui, Suo-Min
Author_Institution
Dept. of Sci. Electr. Eng., Nanjing Univ., China
Volume
1
fYear
1997
fDate
2-5 Dec 1997
Firstpage
65
Abstract
This approach for extracting the two-dimensional (2-D) scattering center model is based on the combination of the cosine-modulated filter bank satisfying the perfect reconstruction condition (PR-CMFB) and maximum likelihood estimation. The analysis banks are first used to implement the multichannel decomposition of scattering signal in frequency-aspect domain. The synthesis banks are then used to recombine the decomposed signals and to conveniently obtain several separable subregional signals with high energy and without loss of information. Therefore, the maximum likelihood estimator (MLE) can be used in each subregion independently, making the approach very efficient and possessing superior noise performance. The simulations show that such combination works well and is very promising for radar imaging
Keywords
electromagnetic wave scattering; maximum likelihood estimation; radar imaging; 2-D scattering center model; cosine-modulated filter bank; frequency-aspect domain; multichannel decomposition; multichannel maximum likelihood estimation approach; noise performance; perfect reconstruction condition; radar imaging; separable subregional signals; Electromagnetic scattering; Filter bank; Frequency domain analysis; Image coding; Maximum likelihood estimation; Multiple signal classification; Radar imaging; Radar scattering; Scattering parameters; Speech coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Conference Proceedings, 1997. APMC '97, 1997 Asia-Pacific
Print_ISBN
962-442-117-X
Type
conf
DOI
10.1109/APMC.1997.659306
Filename
659306
Link To Document