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Battlefield Acoustics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Battlefield Acoustics/ by Thyagaraju Damarla.
Author:	Damarla, Thyagaraju.
Description:	XV, 262 p. 158 illus., 90 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Signal processing. -
Online resource:	https://doi.org/10.1007/978-3-319-16036-8
ISBN:	9783319160368

Battlefield Acoustics
Damarla, Thyagaraju.

Battlefield Acoustics[electronic resource] /by Thyagaraju Damarla. - 1st ed. 2015. - XV, 262 p. 158 illus., 90 illus. in color.online resource.

Introduction to Acoustics -- Basic Concepts in Probability -- Detection Theory -- Estimation Theory -- Atmospheric Acoustics -- Acoustic Arrays -- Bearing Estimation using Acoustic Arrays -- Tracking -- Localization of Transient Events -- Classifiers -- Target Discrimination for Situational Awareness -- Sensor Data Fusion.

This book presents all aspects of situational awareness in a battlefield using acoustic signals. It starts by presenting the science behind understanding and interpretation of sound signals. The book then goes on to provide various signal processing techniques used in acoustics to find the direction of sound source, localize gunfire, track vehicles, and detect people. The necessary mathematical background and various classification and fusion techniques are presented. The book contains majority of the things one would need to process acoustic signals for all aspects of situational awareness in one location. The book also presents array theory, which is pivotal in finding the direction of arrival of acoustic signals. In addition, the book presents techniques to fuse the information from multiple homogeneous/heterogeneous sensors for better detection. MATLAB code is provided for majority of the real application, which is a valuable resource in not only understanding the theory but readers, can also use the code as a spring-board to develop their own application based software code. · Shows how acoustic signal processing can aid in situational awareness, intelligence, surveillance and reconnaissance (ISR) · Presents background on the type of microphone arrays one has to use and the techniques used to find the direction of sound source · Focuses on direction finding, transient event (such as gunfire) detection and localization, tracking targets and personnel detection · Provides multi-sensor data fusion techniques to achieve higher probability of detection with fewer false alarms and higher confidence.

ISBN: 9783319160368

Standard No.: 10.1007/978-3-319-16036-8doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Battlefield Acoustics
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520 $a This book presents all aspects of situational awareness in a battlefield using acoustic signals. It starts by presenting the science behind understanding and interpretation of sound signals. The book then goes on to provide various signal processing techniques used in acoustics to find the direction of sound source, localize gunfire, track vehicles, and detect people. The necessary mathematical background and various classification and fusion techniques are presented. The book contains majority of the things one would need to process acoustic signals for all aspects of situational awareness in one location. The book also presents array theory, which is pivotal in finding the direction of arrival of acoustic signals. In addition, the book presents techniques to fuse the information from multiple homogeneous/heterogeneous sensors for better detection. MATLAB code is provided for majority of the real application, which is a valuable resource in not only understanding the theory but readers, can also use the code as a spring-board to develop their own application based software code. · Shows how acoustic signal processing can aid in situational awareness, intelligence, surveillance and reconnaissance (ISR) · Presents background on the type of microphone arrays one has to use and the techniques used to find the direction of sound source · Focuses on direction finding, transient event (such as gunfire) detection and localization, tracking targets and personnel detection · Provides multi-sensor data fusion techniques to achieve higher probability of detection with fewer false alarms and higher confidence.
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