Abstract
Coherent detection processors for sonar (e.g., matched filters for active systems) require continuous time series as input and have conventionally been associated with delay-and-sum time-domain beamformers. As an alternative, we have extended frequency-domain beamforming techniques to retain the coherence of wideband signals and have demonstrated efficient software for computing continuous time-series beams for flexible postprocessing. Using computer-generated “acoustic-array” data, the beamformer was shown to preserve the envelope, spectrum, and correlation properties of signals while yielding near theoretical performance in reducing beam side-lobe levels. Advantages over a conventional delay-and-sum beamformer are: (1) elimination of the need for high input sampling rates to achieve acceptable beam patterns—the frequency-domain approach is insensitive to the sampling rate provided it exceeds the (band-pass) Nyquist rate; (2) reduction of high-beam side-lobe levels caused by malfunctioning array elements—the response of missing array elements is readily estimated in the frequency domain by interpolating from the spectra of neighboring sensors; (3) minimization of hardware requirements—all stages of signal processing (bandpass filtering, holefixing, beamforming, time-line reconstruction, and matched filtering) can be efficiently performed in a general purpose array processor.
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