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Chapter

A Generalization of Spherically Invariant Random Vectors (SIRVs) with an Application to Reverberation Reduction in a Correlation Sonar

Chapter

A Generalization of Spherically Invariant Random Vectors (SIRVs) with an Application to Reverberation Reduction in a Correlation Sonar

DOI link for A Generalization of Spherically Invariant Random Vectors (SIRVs) with an Application to Reverberation Reduction in a Correlation Sonar

A Generalization of Spherically Invariant Random Vectors (SIRVs) with an Application to Reverberation Reduction in a Correlation Sonar book

A Generalization of Spherically Invariant Random Vectors (SIRVs) with an Application to Reverberation Reduction in a Correlation Sonar

DOI link for A Generalization of Spherically Invariant Random Vectors (SIRVs) with an Application to Reverberation Reduction in a Correlation Sonar

A Generalization of Spherically Invariant Random Vectors (SIRVs) with an Application to Reverberation Reduction in a Correlation Sonar book

Edited ByMelvin M. Weiner
BookAdaptive Antennas and Receivers

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Edition 1st Edition
First Published 2006
Imprint CRC Press
Pages 114
eBook ISBN 9781315221151

ABSTRACT

Generalized Models ............................................................... 807

14.3. Generalized SIRV Properties............................................................... 810

14.3.1. Linear Transformation ........................................................... 810

14.3.2. The Generalized SIRV “Bootstrap” Theorem ...................... 811

14.3.3. The Monotonicity of h

ða

;…;a

Þ ................................. 812

14.3.4. Spherical Coordinates ............................................................ 812

14.3.5. The Generalized SIRV Bessel Function

Representation........................................................................ 817

14.3.6. Minimum Mean Square Error Estimation............................. 822

14.3.7. The Generalized SIRV Laplace

Transform Representation...................................................... 824

14.4. The Generalized SIRV Density Function ........................................... 826

14.4.1. Direct Evaluation of h

(a

)................................................. 827

14.4.1.1. Case 1 ................................................................... 828

14.4.1.2. Case 2 ................................................................... 841

14.4.2.1. Case 3 ................................................................... 846

14.4.2.2. Case 4 ................................................................... 854

14.5. Generalized SIRV Generation ............................................................. 856

14.5.1. Multivariate Rejection Theorem............................................ 857

14.5.2. Application of the Rejection Theorem.................................. 860

14.5.3. Examples of Random Variable Generation .......................... 861

14.5.3.1. Example 1 ............................................................. 861

14.5.3.2. Example 2 ............................................................. 863

14.6. Generalized SIRV Density Approximation......................................... 863

14.6.1. Univariate Density Approximation ....................................... 865

14.6.2. 2-D Density Approximation .................................................. 867

14.6.3. Multivariate Density Approximation .................................... 868

14.6.4. Real Data Analysis ................................................................ 869

14.7. Correlation Sonar Fundamentals ......................................................... 876

14.7.1. Correlation Sonar Basic Operation........................................ 876

14.7.2. Correlation Sonar Reverberation Model ............................... 880

14.7.2.1. Monostatic and Bistatic Reverberation ................ 881

14.7.2.2. Reverberation as Heard on a Moving

Correlation Sonar Platform .................................. 883

14.7.3. A Sub-Optimal Correlation Sonar Receiver ......................... 890

14.7.4. Performance in Previous Pulse Interference ......................... 895

14.8. M-ary Detection ................................................................................... 896

14.8.1. Optimum M-ary Detection..................................................... 897

14.8.2. Sub-Optimum M-ary Detection ............................................. 901

14.8.3. Generalized SIRV M-ary Detection ...................................... 904

14.9. Conclusion ........................................................................................... 909

14.9.1. Suggestions for Future Research ........................................... 910

An active sonar system operates by transmitting an acoustic pulse into the water

and monitoring a target echo. Besides receiving an echo from a desired target,

the system may also receive an echo from the ocean floor or the surface as

shown in Figure 14.1. In sonar terminology, any nontarget echo arising

explicitly from bottom or surface, is referred to as boundary reverberation.

Typically, boundary reverberation power greatly exceeds that of a target. If it

arrives at the same time as the target echo, this reverberation interferes with

detection of the desired signal.

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