DocumentCode
48258
Title
Direction of arrival estimation performance comparison of dual cancelled channels space-time adaptive processing techniques
Author
Colone, F. ; Cristallini, Diego ; Cerutti-Maori, Delphine ; Lombardo, P.
Author_Institution
Dept. of Inf. Eng., Electron. & Telecommun. (DIET), Univ. of Rome La Sapienza, Rome, Italy
Volume
8
Issue
1
fYear
2014
fDate
Jan-14
Firstpage
17
Lastpage
26
Abstract
This study presents two alternative techniques for the estimation of the target direction of arrival (DOA) for a moving radar equipped with digital beamforming, operating in look-down against strong clutter echoes. Both the considered techniques, namely AB space-time adaptive processing (AB-STAP) and generalised monopulse estimator, are based on a dual cancelled channel approach that simplifies their implementation. An extensive performance comparison is presented for the ground moving targets. Both the theoretical and simulated analyses of DOA estimation are performed, which include the comparison to the Cramér-Rao bound. The considered processing schemes are shown to yield comparable accuracies in target DOA estimation with respect to a maximum likelihood estimator. Moreover, they ensure lower computational cost, since no numerical maximisation of any functional is required. AB-STAP shows the additional nice property of estimation robustness when a limited set of homogeneous data is available to achieve the adaptivity. The comparison is finally performed applying the different estimators to a set of real multichannel data.
Keywords
direction-of-arrival estimation; echo; maximum likelihood estimation; space-time adaptive processing; AB-STAP; Cramer-Rao bound; DOA estimation; air-borne space-time adaptive processing; clutter echoes; digital beamforming; direction of arrival estimation; dual cancelled channel approach; dual cancelled channels; generalised monopulse estimator; ground moving targets; maximum likelihood estimator; space-time adaptive processing techniques;
fLanguage
English
Journal_Title
Radar, Sonar & Navigation, IET
Publisher
iet
ISSN
1751-8784
Type
jour
DOI
10.1049/iet-rsn.2012.0368
Filename
6702406
Link To Document