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Comparison of frequency estimators for underwater acoustic data

 

作者: R. F. Barrett,   D. R. A. McMahon,  

 

期刊: The Journal of the Acoustical Society of America  （AIP Available online 1986）
卷期: Volume 79, issue 5  

页码: 1461-1471

 

ISSN:0001-4966

 

年代: 1986

 

DOI:10.1121/1.393673

 

出版商: Acoustical Society of America

 

关键词: SONAR;DATA ANALYSIS;FREQUENCY MEASUREMENT;ALGORITHMS;MAXIMUM−LIKELIHOOD FIT

 

数据来源: AIP

 

摘要:

A number of high‐accuracy frequency estimators have been critically compared using simulated and real passive sonar data. Techniques considered are the standard Prony method, the extended Prony method of Marple, the Kumaresan–Prony algorithm, the Pisarenko algorithm, the maximum likelihood approach, and a phase interpolation method developed by the authors. The latter two techniques appear to offer the most promise for the analysis of sonar data.

 

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