RS250

SONAR SIGNAL PROCESSING

SYNOPSIS

This course covers the fundamentals of sonar signal processing and theirapplication to both active and passive sonar. Both sonar signal processingalgorithms and architectures are described. Computational requirements aswell as hardware implementations are examined. Physical concepts and performancecriteria stressed and their relationship to typical sonar signal processingproblems are discussed.

ELIGIBILITY REQUIREMENTS

This course is intended for physicists, engineers and computer scientistswho need to understand or design signal processing systems for modern activeand passive sonars.

LEARNING OBJECTIVES

The principle objective of this course is to provide the student withthe contemporary tools needed to understand, simulate, upgrade and designmodern sonar signal processing system. Specific learning objectives fortaking this course are:

• to understand the engineering concepts of modern active and passive sonar systems; and
  
• to gain skills in analyzing and simulating the signal processing algorithms, architectures and implementations required to provide both detection and localization.
  

COURSE DESCRIPTION

A modern sonar is a very sophisticated system. It requires specializedknowledge of both analog and digital signal processing systems. Modern algorithms,architectures and implementations of digital signal processing will be analyzed.Signal processing requirements for both active and passive sonar systemswill be considered. Examples will be given so that the student gains anintuitive comprehension of the material being described.

The course will stress concepts and applications in sufficient detailso that the student will be able to apply the principles to his or her signalprocessing problems. Practical algorithmic details will be provided so thatsignal processing simulations can be performed. Hardware architectures andimplementations will be described so that the student can design and specifya complete sonar signal processing system.

COURSE OUTLINE


Summary

This course provides a comprehensive analysis of the signal processingrequirements and implementations of modern sonar systems both active andpassive. Physical concepts and performance criteria are stressed. Typicalsonar signal processing examples are discussed to unify the course material.

Introduction to Sonar Signal Processing
Passive Sonar and Spectral Analysis
Mono-static and Bi-Static Active Sonar
Signal Processing Concepts
Analog Signal Conditioning
Analog-to-Digital Conversion
Overview of Digital Signal Processing
Discrete Fourier Transform
Digital Filters and Correlators
Conventional Beamforming
Sensor Array Characteristics
Array Gain
Array Weighting
Optimum Detection and Estimation in Passive Sonar
Signal and Noise Models
Hypothesis Testing
Parameter Estimation
Optimum Sonar Detectors and Estimators
Adaptive Beamformers and Direction Finders
Matched Filters and Matched Field Processing
Active Sonar Signal Processing
Range-Doppler Scattering Function
Matched Filtering and Optimum Detection
Mapping Sonar Algorithms onto Processor Arrays
Algorithms and Architectures
Array Processors and Processor Arrays
Recent Developments in Signal Processing
Time-Frequency Distributions
Focused Beamformers
Sonar Systems Examples
Passive Detection and Direction Finding
Active Bi-static Detection and Localization

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