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

fYear

2006

fDate

12-14 July 2006

Firstpage

162

Lastpage

165

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on

Conference_Location

Waltham, MA

Print_ISBN

1-4244-0308-1

Type

conf

DOI

10.1109/SAM.2006.1706113

Filename

1706113