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基于贝叶斯因子分析的声纳探测误差模型研究

赵宏志 曹志敏 韩瑜

指挥控制与仿真2011,Vol.33Issue(6):31-35,49,6.
指挥控制与仿真2011,Vol.33Issue(6):31-35,49,6.DOI:10.3969/j.issn.1673-3819.2011.06.009

基于贝叶斯因子分析的声纳探测误差模型研究

Sonar Detection Error Modeling Based on Bayesian Factor Analysis

赵宏志 1曹志敏 1韩瑜1

作者信息

  • 1. 江苏自动化研究所,江苏连云港222006
  • 折叠

摘要

Abstract

The sonar detection error modeling is the core technology in sonar simulation. To model the sonar detection error, after using statistic method to analysis lots of sonar detection data, a method based on Bayesian factor analysis is proposed to find the sonar detection error model. This error model is used to forecast the detection error in a sonar simulation. The result of comparing with conventional Gaussian noise model shows that the proposed model has high performance on the sonar detection data.

关键词

声纳仿真/贝叶斯因子分析/声纳探测误差模型/白噪声模型

Key words

sonar simulation/ bayesian factor analysis/ sonar detection error model/ gaussian noise model

分类

军事科技

引用本文复制引用

赵宏志,曹志敏,韩瑜..基于贝叶斯因子分析的声纳探测误差模型研究[J].指挥控制与仿真,2011,33(6):31-35,49,6.

指挥控制与仿真

OACSTPCD

1673-3819

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