ROTATIONAL SEARCH METHODS FOR ADAPTIVE PISARENKO HARMONIC RETRIEVAL

被引：17

作者：

FUHRMANN, DR

LIU, B

机构：

[1] WASHINGTON UNIV,BIOMED COMP LAB,ST LOUIS,MO 63130

[2] PRINCETON UNIV,DEPT ELECT ENGN,PRINCETON,NJ 08544

来源：

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING | 1986年 / 34卷 / 06期

关键词：

ELECTRIC FILTERS; DIGITAL - ELECTRIC FILTERS; NOTCH - SIGNAL FILTERING AND PREDICTION - Computer Simulation;

D O I：

10.1109/TASSP.1986.1164994

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Two adaptation algorithms for adaptive Pisarenko harmonic retrieval (PHR) are derived considering the associated minimum eigenvalue problem as an optimization problem which seeks the minimum of a quadratic cost function, given a hyperspherical constraint. An iterative search procedure is used in which each search path is constrained to lie on the unit hypersphere. Computational complexity per iteration is approximately one-third that of previous adaptive PHR algorithms. Simulations reveal that at low SNR the trial eigenvector can converge to the true minimum eigenvector of the sample covariance matrix long before this matrix is a good estimate of the true covariance matrix.

引用

页码：1550 / 1565

页数：16

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