DocumentCode :
396816
Title :
Direction finding using spatial polarimetric time-frequency distributions
Author :
Zhang, Yamin ; Amin, Moeness G. ; Obeidat, Baha A.
Author_Institution :
Center for Adv. Commun., Villanova Univ., PA, USA
Volume :
1
fYear :
2003
fDate :
1-4 July 2003
Firstpage :
133
Abstract :
In this paper, we introduce the spatial polarimetric time-frequency distribution (SPTFD) as a platform to process nonstationary array signals with two orthogonal polarization components, such as horizontal and vertical. The use of dual polarization empowers the STFDs and improves the robustness of the respective signal and noise subspaces. With the additional polarimetric information, improved direction finding performance can be achieved. To demonstrate such advantages, the polarimetric time-frequency MUSIC (PTF-MUSIC) method is proposed based on the SPTFD platform and is shown to outperform the MUSIC techniques based on the time-frequency, polarimetric, and conventional methods.
Keywords :
array signal processing; time-frequency analysis; direction finding; dual polarization; horizontal polarization component; noise subspace; nonstationary array signal processing; orthogonal polarization component; polarimetric time-frequency MUSIC method; signal enhancement; spatial polarimetric time-frequency distribution; vertical polarization component; Data models; Direction of arrival estimation; Multiple signal classification; Noise robustness; Polarization; Signal processing; Signal to noise ratio; Speech synthesis; Time frequency analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
Type :
conf
DOI :
10.1109/ISSPA.2003.1224658
Filename :
1224658
Link To Document :
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