Title :
Estimating spatial spectrum with generalized spectral-correlation signal subspace fitting
Author :
Jin, Liang ; Yin, Qin-ye ; Yao, Min-li
Author_Institution :
Inf. Eng. Inst., Xi´´an Jiaotong Univ., China
Abstract :
A novel DOA estimation method called Generalized Spectral Correlation Signal Subspace Fitting (GSC-SSF) is proposed in this paper, which is applicable in both wide band and narrow band scenarios. Especially, in narrow band cases, the method is capable of enlarging the effective aperture of the sensor array considerably. It is proven herein that several present DOA estimation methods based on cyclostationarity, including SC-SSF, Cyclic MUSIC and Cyclic ESPRIT, are just special cases or approximations of this method. Its effectiveness and generality are also illustrated by simulation results
Keywords :
array signal processing; correlation methods; direction-of-arrival estimation; Cyclic ESPRIT; Cyclic MUSIC; DOA estimation method; SC-SSF; cyclostationarity; generalized spectral-correlation signal subspace fitting; narrow band cases; sensor array aperture; simulation results; spatial spectrum estimation; wide band case; Apertures; Direction of arrival estimation; Frequency; Multiple signal classification; Narrowband; Sensor arrays; Signal processing; Signal resolution; Spatial resolution; Wideband;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.858817
