ATI's Video Of Sonar Signal Processing Short Course

Introduction to Sonar Signal Processing. Introduction to sonar detection systems and types of signal processing performed in sonar. Correlation processing, Fournier analysis, windowing, and ambiguity functions. Evaluation of probability of detection and false alarm rate for FFT and broadband signal processors.

Beamforming and Array Processing. Beam patterns for sonar arrays, shading techniques for sidelobe control, beamformer implementation. Calculation of DI and array gain in directional noise fields.

Passive Sonar Signal Processing. Review of signal characteristics, ambient noise, and platform noise. Passive system configurations and implementations. Spectral analysis and integration.

Active Sonar Signal Processing. Waveform selection and ambiguity functions. Projector configurations. Reverberation and multipath effects. Receiver design.

Passive and Active Designs and Implementations. Design specifications and trade-off examples will be worked, and actual sonar system implementations will be examined.

Advanced Signal Processing Techniques. Advanced techniques for beamforming, detection, estimation, and classification will be explored. Optimal array processing. Data adaptive methods, super resolution spectral techniques, time-frequency representations and active/passive automated classification are among the advanced techniques that will be covered.

Category:

Science & Technology

Tags:

• ATI
• Applied Technology Institute
• Sonar
• Sonar Signal Processing
• signal processing
• acoustics fundamentals
• acoustics measurement
• Jim Jenkins
• G. Scott Peacock
• Scott Peacock