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High Resolution Wideband Local Polynomial Approximation Beamforming for Moving Sources  

Park Do-Hyun (삼성탈레스(주))
Park Gyu-Tae (넥스원퓨처(주))
Lee Jung-Hoon (넥스원퓨처(주))
Lee Su-Hvoung (경일대학교)
Lee Kyun-Kyung (경북대학교 전자전기공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.24, no.1, 2005 , pp. 1-10 More about this Journal
Abstract
This paper presents a wideband LPA (local polynomial approximation) beamforming algorithm that is appropriate for wideband moving sources. The Proposed wideband LPA algorithm adopts STMV (steered minimum variance) method that utilizes a steered covariance matrix obtained from multiple frequency components in one data snapshot, instead of multiple data snapshots in one frequency bin. The wideband LPA cost function is formed using STMV weight vector. The Proposed algorithm searches for the instantaneous DOA and angular velocity that maximize the wideband LPA cost function. resulting in a higher resolution performance than that of a DS LPA beamforming algorithm. Several simulations using artificial data and sea trial data are used to demonstrate the performance of the Proposed algorithm.
Keywords
Local polynomial approximation; Beamforming; DOA and angular velocity estimation; Moving sources; Short observation times;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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