Frequency Refinement-Based Bearing Estimation
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The article discusses an underwater acoustic signal processing technique designed to refine bearing estimation. This technique is widely employed in hydroacoustics to achieve more precise processing and analysis of underwater acoustic signals. By utilizing frequency refinement methods, the accuracy of bearing estimation for underwater acoustic signals can be significantly improved. The implementation typically involves spectral analysis algorithms such as Fast Fourier Transform (FFT) combined with interpolation techniques in the frequency domain to enhance resolution. This technology holds significant importance for marine research, underwater communication, and sonar applications, enabling scientists to better understand and utilize underwater acoustic signals through improved signal processing workflows.
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