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