NDLI: An improved algorithm of PAST and Root-MUSIC for signal frequency tracking

Content Provider	IEEE Xplore Digital Library
Author	Chunping Wang Yuanzeng Cheng Qiang Fu
Copyright Year	2010
Description	Author affiliation: Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China (Qiang Fu) \|\| Department of Optics and Electronics Engineering, Ordnance Engineering College, Shijiazhuang, 050000, China (Chunping Wang; Yuanzeng Cheng)
Abstract	For multi-signal separation and frequency tracking problems, this paper conducted a study and simulation of PAST and Root-MUSIC algorithm, and then pointed out that: due to the signal noise and subspace approach method of PAST algorithm, the solutions may contain many disturbance items. The original Root-MUSIC algorithm can not effectively eliminate the disturbance. This paper presents an improved method based on the tolerance and sorting. It divides all possible solutions into several neighborhoods, then puts every neighborhood for shrinkage and contraction to the local optimal solution, finally obtains the original signal frequencies by weighted and sorted processing. The results of various sources demonstrate the accuracy and the effectiveness of the improvement.
Starting Page	159
Ending Page	163
File Size	1596770
Page Count	5
File Format	PDF
ISBN	9781424455379
e-ISBN	9781424455409
DOI	10.1109/ICCSIT.2010.5563934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Root-MUSIC(MUltiple SIgnal Classification) PAST(Projection Approximation Subspace Tracking) Artificial neural networks optimization methods
Content Type	Text
Resource Type	Article

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