Title :
Polarimetric time-frequency music in coherent signal environment
Author :
Zhang, Yimin ; Obeidat, Baha A. ; Amin, Moeness G.
Author_Institution :
Center for Adv. Commun., Villanova Univ., PA, USA
fDate :
28 Sept.-1 Oct. 2003
Abstract :
The spatial time-frequency distributions (STFDs) have been developed and successfully applied to high-resolution direction-of-arrival (DOA) estimations and blind recovery of the source waveforms. In [Y. Zhang et al., Aug. 2003], the spatial polarimetric time-frequency distribution (SPTFD) was introduced as a platform for space-time processing for nonstationary source signals with different polarization properties. Based on SPTFD, polarimetric time-frequency MUSIC (PTF-MUSIC) has been proposed for DOA estimation of non-coherent signals. In this paper, the use of the PTF-MUSIC is extended to the coherent signal environment using spatial and polarization averaging. Simulation results are presented to show the effectiveness of the aforementioned decorrelation techniques.
Keywords :
decorrelation; direction-of-arrival estimation; space-time adaptive processing; statistical distributions; time-frequency analysis; DOA estimation; coherent signal environment; decorrelation techniques; direction-of-arrival estimations; nonstationary source signals; source waveforms blind recovery; space-time processing; spatial polarimetric time-frequency distribution; time-frequency music; Decorrelation; Direction of arrival estimation; Multiple signal classification; Polarization; Signal analysis; Signal processing; Signal restoration; Smoothing methods; Time frequency analysis; Vectors;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289392
