DocumentCode :
1218826
Title :
Direction-of-arrival and frequency estimations for narrowband sources using two single rotation invariance algorithms with the marked subspace
Author :
Chen, Y.-H. ; Chen, C.-H.
Author_Institution :
Inst. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume :
139
Issue :
4
fYear :
1992
fDate :
8/1/1992 12:00:00 AM
Firstpage :
297
Lastpage :
300
Abstract :
In array signal processing, one is frequently interested in simultaneously estimating the directions of arrival and the centre frequencies of the uncorrelated narrowband radiating sources having different centre frequencies. By using single spatial rotation invariance and temporal rotation invariance algorithms, e.g. the original ESPRIT, the authors can individually estimate the spatial frequencies αi and the temporal frequencies ωi of the sources. If detecting radiating sources only in azimuths is of interest, the spatial frequency αi is defined as αii sin (θi ), where θi is the location of the ith source relative to the broadside of the array, and they need decide which of the ωi and αi values belong to the same radiating source to obtain the pair {θii} for each source. They propose a technique, the marked subspace technique, which is applied to the original ESPRIT to obtain the parameter pair {θii}. By using both single spatial invariance and single temporal invariance algorithms along with the marked subspace, the parameter pair {θii } of each radiating source can be more easily obtained than using the original ESPRIT without the marked subspace
Keywords :
matrix algebra; signal detection; signal processing; DOA estimation; ESPRIT; array signal processing; centre frequencies; frequency estimations; marked subspace; matrix algebra; narrowband sources; parameter pair; single rotation invariance algorithms; spatial frequencies; temporal frequencies; temporal rotation invariance algorithms; uncorrelated radiating sources;
fLanguage :
English
Journal_Title :
Radar and Signal Processing, IEE Proceedings F
Publisher :
iet
ISSN :
0956-375X
Type :
jour
Filename :
153510
Link To Document :
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