Adaptive Transmit Waveform Design
David A. Hague

TL;DR
This paper introduces an adaptive FM waveform model called MTSFM for cognitive sonar systems, enabling optimized target detection and classification through adjustable, spectrally compact waveforms.
Contribution
It presents a novel spectrally compact adaptive FM waveform model using Multi-Tone Sinusoidal Frequency Modulation (MTSFM) with adjustable coefficients for cognitive sonar applications.
Findings
MTSFM waveforms are spectrally compact and constant amplitude.
Adjustable coefficients allow for tailored waveform characteristics.
The model enhances sonar adaptability to diverse environments.
Abstract
Recent research efforts in the Anti-Submarine Warfare (ASW) community have focused on developing sonar systems that adapt to their acoustic environment, referred to as "cognitive" sonars. Cognitive active sonar systems utilize principles of the perception action cycle of cognition to leverage information gathered from earlier sensing interactions with the underwater acoustic environment. This in turn informs the selection of system parameters to optimize target detection, classification, localization, and tracking performance in that acoustic environment. Of the many system parameters such a cognitive sonar system could potentially adapt, the acoustic signal transmitted into the medium, also known as the transmit waveform, has a profound impact on system performance. Many of the physical characteristics of the acoustic environment are contained in the return echo signal that is composed…
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Taxonomy
TopicsUnderwater Acoustics Research · Radar Systems and Signal Processing · Underwater Vehicles and Communication Systems
