摘要
This paper introduces the matrix filter designed by the least square principle as a tool for underwater acoustic detection and localization problems in range-depth domain. And details of the design will be showed. This matrix filter is able to suppress interference in the stopband while passing the signal in the passband as distortionless as possible via filtering the replica vectors. The matrix filter will be applied to VLA(vertical linear array) and HLA(horizontal linear array) respectively in this paper. The conclusion can be reached as the least square matrix filter can show nice performance under the influence of strong background noise and interference source when it's used for VLA, while it can only filter out the interference at a higher SNR when be used for HLA.
This paper introduces the matrix filter designed by the least square principle as a tool for underwater acoustic detection and localization problems in range-depth domain. And details of the design will be showed. This matrix filter is able to suppress interference in the stopband while passing the signal in the passband as distortionless as possible via filtering the replica vectors. The matrix filter will be applied to VLA(vertical linear array) and HLA(horizontal linear array) respectively in this paper. The conclusion can be reached as the least square matrix filter can show nice performance under the influence of strong background noise and interference source when it's used for VLA, while it can only filter out the interference at a higher SNR when be used for HLA.
引文
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