Title :
Cyclic-statistics based eigenspace reconstruct algorithm for DOA estimation in presence of complex noise
Author :
Ruolun, Liu ; Shuxun, Wang
Author_Institution :
Lab. of Digital Signal Process., Jilin Univ. of Technol., Changchun, China
fDate :
9/2/1999 12:00:00 AM
Abstract :
A new algorithm, the cyclic-statistics based eigenspace reconstruct algorithm (CERA), is proposed to deal with narrowband DOA estimation in the presence of both additive and multiplicative noise. Simulations based on the new model and CERA show the strong insensitivity to spatial white noise with any PDF
Keywords :
direction-of-arrival estimation; interference (signal); random noise; statistics; white noise; additive noise; complex noise; cyclic-statistics based algorithm; eigenspace reconstruct algorithm; multiplicative noise; narrowband DOA estimation; spatial white noise;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19991067
