Title :
A New Near-Field Source Localization Algorithm without Pairing Parameters
Author :
Liang, Junli ; Yang, Shuyuan ; Zhang, Junying
Author_Institution :
Inst. of Acousti., Chinese Acad. of Sci., Beijing
Abstract :
In this paper, we propose a new near-field source localization algorithm without any spectral peak searching or parameter pairing. Firstly, based on fourth-order cumulant of the outputs of a uniform linear array (ULA), we derive a multiple invariance-sensor array processing (MI-SAP)-type data model using the formed cumulant matrices. Secondly, the DOA, range, and frequency parameters are estimated from the matrices got via trilinear decomposition of three-way array. Finally, simulation results are presented to validate the performance of the proposed method
Keywords :
array signal processing; direction-of-arrival estimation; frequency estimation; higher order statistics; matrix algebra; DOA; formed cumulant matrices; fourth-order cumulant; frequency parameters estimation; multiple invariance-sensor array processing; near-field source localization algorithm; trilinear decomposition; Delay estimation; Direction of arrival estimation; Frequency estimation; Matrix decomposition; Narrowband; Propagation delay; Radar tracking; Sensor arrays; Signal processing algorithms; Sonar navigation;
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
DOI :
10.1109/SAM.2006.1706113