Signal processing for quantifying and classifying sonar target

H. Manik
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Abstract

Underwater acoustic instrument was used to quantify the fish backscattering strength (SV) and bottom scattering (SS). The measured SS by the bottom echo integration method are compared with the result from the ring surface scattering (RSS) model to confirm the reliability of the measurements and theory. The bottom material estimated by the quantified SS show that the fish schools are abundant in the sand bottom. It is found the acoustic instrument can identify fish, plankton and bottom fish habitats remotely.
声纳目标量化分类的信号处理
利用水声仪器对鱼的后向散射强度(SV)和底向散射强度(SS)进行量化。将底部回波积分法测得的SS与环形表面散射(RSS)模型的结果进行了比较,验证了测量结果和理论的可靠性。定量SS估算的海底物质表明,沙质海底有丰富的鱼群。研究发现,声学仪器可以远程识别鱼类、浮游生物和底栖鱼类的栖息地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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