基于Cramer-Rao下界准则的优化,提高了主动声纳的识别能力

C. Fraschini, F. Chaillan, P. Courmontagne
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引用次数: 4

摘要

本研究在主动声呐探测水下目标的框架内做出了贡献。本文旨在提出一种新颖的方法,使声呐的性能得到很大的提高。该技术使用一个过滤器,通过优化基于Cramer-Rao下界的标准来确定。给出了实验结果,并与其他方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improvement of the discriminating capability of the active sonar by optimization of a criterion based on the Cramer-Rao lower bound
This study is a contribution within the framework of detection of underwater targets using active sonar. This paper aims at proposing an original method allowing a great improvement of the sonar performances. This technique uses a filter, determined by optimizing a criterion based on the Cramer-Rao lower bound. Experimental results are proposed and compared with other approaches.
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