Several New Methods for the Extraction of Time-Domain Scatterring Signal Based on BP Neural Net

Zhang Liangjie

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Several New Methods for the Extraction of Time-Domain Scatterring Signal Based on BP Neural Net

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- Several New Methods for the Extraction of Time-Domain Scatterring Signal Based on BP Neural Net
- Acta Electronica Sinica Issue 10, (1994)
- 作者机构：
  
  1. 清华大学自动化系
  2. 西安交通大学信控系
  3. 清华大学自动化系西安交通大学信控系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：1994
- 稿件说明：
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[1]张良杰,汪文秉.基于BP网络模型的几种新型时域散射信号获取技术[J].电子学报,1994(10):34-38.

Zhang Liangjie. Several New Methods for the Extraction of Time-Domain Scatterring Signal Based on BP Neural Net[J]. Acta Electronica Sinica, 1994, (10).
[1]张良杰,汪文秉.基于BP网络模型的几种新型时域散射信号获取技术[J].电子学报,1994(10):34-38. DOI：

Zhang Liangjie. Several New Methods for the Extraction of Time-Domain Scatterring Signal Based on BP Neural Net[J]. Acta Electronica Sinica, 1994, (10). DOI：

摘要

本文给出了能较好地获取目标散射信号的基于ＢＰ网络模型的直达波特征探测法与＂间断＂自适应直达波抵消法，同时亦将归纳出的经去相关预处理后的自适应直达波对消与自适应处理直接相减信号的散射信号获取方法进行了介绍。文中给出的部分计算机仿真结果验证了上述算法的可行性。

Abstract

In this paper

the DRS（directly receiving signal） feature detection method and the "interrupted" adaptive DRS cancellation method for time-domain scattering signal extraction based on BP neural network are presented. In the meantime

the DRS cancellation method which has been preprocessed with decorrelation technique and the adaptive processing method of the directly subtracted signal are also introduced. Some computer simulations have shown the effectiveness of those algorithms.

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