Performance of the generalized cross correlator in the presence of a strong spectral peak in the signal

Hassab, Joseph C.; Boucher, R.

doi:10.1109/tassp.1981.1163613

Cited by 37 publications

(12 citation statements)

References 10 publications

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“…Cross correlation There are a number of member algorithms in the GCC family depending on how the weighting function ^{u)k') is selected [206], [66], [262], [157], [65]. Commonly used weighting functions for single-path propagation environments are summarized in Table 9.4.…”

Section: Methods Name Weighting Function ^{U)k>)mentioning

confidence: 99%

Acoustic MIMO Signal Processing

Chen¹,

Huang²,

Benesty³

2006

Signals and Communication Technology

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Section: Methods Name Weighting Function ^{U)k>)mentioning

confidence: 99%

Acoustic MIMO Signal Processing

Chen¹,

Huang²,

Benesty³

2006

Signals and Communication Technology

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“…The phase transform prefiltering technique was developed to overcome this problem [7] . It estimates the time delay by maximizing the following generalized cross-correlation function: [8] .…”

Section: B Time Delay Estimationmentioning

confidence: 99%

Research on passive acoustic localization based on array field

Li-sheng

2010

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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A passive acoustic localization method is proposed to estimate the position and bearing of a moving target whose acoustic energy emissions are received by a ground-based array field. The basic array of this array field is a particular type of planar array consisting of two orthogonally orientated linear subarrays with a common sensor at the center. This technology overcomes the ambiguity of linear array localization. We also discuss error factors related to the localization. In contrast to other array configuration, the configuration we proposed is simple and fast in computation and has high accuracy in estimating target range and bearing.

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“…They are dependent on signal spectra, noise spectra, and ~ channel parameters. It should be stressed that windows must be designed to suit the estimator at hand and the situation under consideration, since improper windowing will deteriorate performance instead of improving it [33][34][35].…”

Section: Windowingmentioning

confidence: 99%

“…To effect this minimization, different windows are added to the basic time delays estimators with varying effectiveness [20,28,35,[59][60][61][62][63][64][65][66][67][68][69][70][71][72][73]• Such a ranging approach presumes stationary contact and sensor positions, as well as stationary signal and noise statistics.…”

Section: Clma From a Linear Arraymentioning

confidence: 99%

Contact Localization and Motion Analysis in the Ocean Environment: A Perspective

Hassab¹

1983

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UNCLASSIFIED 15«. DECLASSIFICATION / DOWNGRADING SCHEDULE ie. DISTRIBUTION STATEMENT lof IhU ReponI 17. DISTRIBUTION STATEMENT lof the abttract enumd in Block 20, if differttU from Reponi Approved for public release; distribution unlimited. 19. SUPPLEMENTARY NOTES 19. KEY WORDS fContmua on rewne iide if neemsMry and idmntify by block number/ Contact Location and Motion Analysis 20. ABSTRACT {Continue on mvene aide if neceaaary and identify by block numbert This document provides an overview of Contact Localization and Motion Analysis (CLMA) in the ocean environment. Such well-studied cases as passive bearings-only contact motion analysis, multipath ranging, and localization/tracking via arrays are used to illustrate the concept. The performance of current CLMA systems is shown to depend on the type and characteristics of the basic measurements developed by their time delay estimators, the acoustic channels linking contact and observer, and the DD, 'r"147 3 20. Abstract (Cont'd) type and description of relative motion between contact and observer. General classes of CLMA schemes are presented. Complexity is shown to depend on the linearity/nonlinearity of their solution equations, the degree to which a contact is observable at each sample time, and the relative motion or degree of stationarity between contact and observer. Contributions to total system gain, biasing issues, and candidate solutions are discussed. Comprehensive references are provided.

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Performance of the generalized cross correlator in the presence of a strong spectral peak in the signal

Cited by 37 publications

References 10 publications

Acoustic MIMO Signal Processing

Acoustic MIMO Signal Processing

Research on passive acoustic localization based on array field

Contact Localization and Motion Analysis in the Ocean Environment: A Perspective

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