@inproceedings{716f926858a54855837ee0ae25d6c8d1,
title = "Uni-vector-sensor SOS/HOS-CSS for wide-band non-Gaussian source direction finding",
abstract = "The Uni-Vector-Sensor and Second-Order Statistics (SOS)/Higber-Order Statistics (HOS) based Coherent Signal Subspace (UVS-SOS/HOS-CSS) technique is herein proposed for 2-D direction finding of multiple wide-band partially/completely correlated sources with non-vanished Kurtosis. Both the UVS-SOS-CSS and the UVS-HOS-CSS inherit the original Coherent Signal Subspace (CSS) technique in coherently accumulating a group of quadrcovariance matrices associated with different frequency bins, but differs from it in eliminating the focusing operation due to the frequency-independence feature enjoyed by ONE VS's manifold vector. This UVS-SOS/HOS-CSS also excels the Spatial Smoothing (SS) technique in saving aperture, being blind to Gaussian noise of unknown SOS for coherent sources, and applicability to general array geometry. Representative examples demonstrating this present UVS-SOS / HOS-CSS's behavior are also given.",
keywords = "Coherent Signal Subspace (CSS), Direction-of-arrival (DOA), MUltiple SIgnal Classification (MUSIC), Vector-sensor (VS), Wide-band signal",
author = "Xu, {You Gen} and Liu, {Zhi Wen} and Yao, {Guang Xiang}",
year = "2005",
language = "English",
isbn = "0780391284",
series = "MAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Proceedings",
pages = "855--858",
booktitle = "MAPE2005",
note = "MAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications ; Conference date: 08-08-2005 Through 12-08-2005",
}