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Probing waveforms and adaptive receivers for active sonar.

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New CAN sequences and adaptive receivers (IAA, SLIM) enhance active sonar system performance. These methods improve target detection by optimizing probing sequences and signal processing, outperforming conventional techniques.

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Area of Science:

  • Underwater acoustics
  • Signal processing
  • Sonar technology

Background:

  • Active sonar systems rely on probing sequences for target information extraction.
  • Transmitter probing sequences and receiver signal processing are critical for system performance.

Purpose of the Study:

  • To synthesize probing sequences with superior aperiodic autocorrelation properties using the CAN algorithm.
  • To evaluate the performance of adaptive receiver designs, Iterative Adaptive Approach (IAA) and Sparse Learning via Iterative Minimization (SLIM).
  • To compare the proposed CAN sequences and adaptive receivers against conventional methods in active sonar systems.

Main Methods:

  • Cyclic Algorithm-New (CAN) for synthesizing probing sequences with good aperiodic autocorrelation.
  • Implementation and comparison of Iterative Adaptive Approach (IAA) and Sparse Learning via Iterative Minimization (SLIM) adaptive receivers.
  • Numerical examples to illustrate and compare the performance of CAN, IAA, SLIM, and conventional matched filter methods.

Main Results:

  • CAN sequences exhibit favorable aperiodic autocorrelation properties compared to pseudo-random noise and random phase sequences.
  • Adaptive receivers IAA and SLIM demonstrate performance improvements over the conventional matched filter.
  • The combined use of CAN sequences and adaptive receivers significantly enhances active sonar system performance.

Conclusions:

  • The CAN algorithm effectively generates probing sequences for improved active sonar.
  • IAA and SLIM represent advanced signal processing techniques for enhanced target detection.
  • The study confirms that CAN, IAA, and SLIM collectively contribute to substantial performance gains in active sonar systems.