Signal-to-Noise Gain from Adaptive Matched-Field Beamforming of MultidimensionalAcoustic Arrays

摘要

Linear and adaptive matched-field beamforming of multidimensional arrays providesignal-to-noise gain and an estimation of range, depth, and azimuth of the sources of incident signals. Adaptive matched-field beamforming (MFB) with large arrays is predicted to achieve gain equal to the directivity index plus the total input-interference-to-independent-noise ratio (IINR). An example distribution of received interference levels illustrates that measurements with relatively small volumetric arrays can determine the IINR, enabling an estimation of achievable array gain. Array sidelobe level requirements for adaptive MFB are derived, showing that good performance is obtained with relatively high sidelobes. Adaptive matched-field gain degradation from replica errors is shown to approach the linear matched-field gain degradation at low-output-signal-to-noise ratios. Adaptive array, Adaptive interference suppression algorithms, Cross-spectral matrix, Matched-field beamforming, Matched-field processing, Minimum variance distortionless response(MVDR), MVDR Beamforming.