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探雷声纳目标的概率分类技术

马爱民

指挥控制与仿真2017,Vol.39Issue(3):1-4,4.
指挥控制与仿真2017,Vol.39Issue(3):1-4,4.DOI:10.3969/j.issn.1673-3819.2017.03.001

探雷声纳目标的概率分类技术

Probability Classification Method for Mine Detection Sonar Targets

马爱民1

作者信息

  • 1. 海军大连舰艇学院,辽宁大连 116018
  • 折叠

摘要

Abstract

The targets which found by mine detection sonar while searching sea bed are large quantity and can`t be found again easily.The current measures are difficult to classify the mines from the sonar targets.Now a new method has been developed to do this efficiently, which based on the difference between the targets` detecting probabilities acquired from multiple searches.The method has been approved effective when it applies on some practical examples.The results express that a large percentage of lower probability targets are rejected, the numbers of reserved targets are reduced obviously and the comprehensive effectiveness of the mine-detection sonar is raised remarkably.

关键词

探雷声纳/概率特征/分类判据/综合效能

Key words

mine-detection sonar/probabilities character/classification criterion/comprehensive effectiveness

分类

军事科技

引用本文复制引用

马爱民..探雷声纳目标的概率分类技术[J].指挥控制与仿真,2017,39(3):1-4,4.

基金项目

国防预研基金(3020604010302) (3020604010302)

指挥控制与仿真

OACSTPCD

1673-3819

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