基于时差多参分选的多层感知器网络脉间识别

陈涛; 王天航; 郭立民

doi:10.11999/JEIT170913

基于时差多参分选的多层感知器网络脉间识别

doi: 10.11999/JEIT170913

(哈尔滨工程大学信息与通信工程学院哈尔滨 150001)

基金项目:

国家自然科学基金(61571146)，中央高校基本科研业务费专项资金(HEUCFP201769)，武器装备预研基金项目

详细信息

作者简介:
陈涛：陈涛：男，1974年生，教授，博士生导师，研究方向为电子对抗与信号检测. 王天航：男，1992年生，硕士生，研究方向为电子对抗与信号检测. 郭立民：男，1977年生，副教授，硕士生导师，研究方向为电子对抗与信号检测.

中图分类号: TN957.51
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出版历程
- 收稿日期: 2017-09-28
- 修回日期: 2018-01-10
- 刊出日期: 2018-07-19

Recognition of Pulse Repetition Interval of Multilayer Percetron Network Based on Multi-parameter TDOA Sorting

CHEN Tao WANG Tianhang GUO Limin

Funds:

The National Natural Science Foundation of China (61571146), The Fundamental Research Funds for the Central Universities (HEUCFP201769), Weapon Equipment Pre- Research Foundation of China

摘要

摘要: 现代战争中，雷达系统发展迅速。为识别复杂的雷达信号调制模式以及混合体制雷达，该文提出一种基于多站获取脉冲时差参数联合其他脉冲描述字分选的办法，利用多层感知器神经网络得到脉间调制识别结果。该文通过时差参数与其他脉冲描述字去交错解决传统脉冲重复周期估计算法无法对复杂的脉间调制方式进行估计。利用训练好的多层感知器，获取完成去交错后的脉冲序列其特征向量，获得其脉间调制类型识别。通过实验仿真，在脉冲丢失率不高于20%情况下，对复杂脉间调制方式的正确识别概率在90%以上。
- 脉间调制识别 /
- 时差分选 /
- 多层感知器 /
- 信号分选
Abstract: In modern warfare, the radar system is developing rapidly. To recognize complex modulation mode of radar signal and hybrid pulse repetition interval radar, this paper proposes a sorting method based on multi station acquired pulse time-difference parameter combined with other pulse description words, taking advantage of the multi-station TDOA from the same emitter is similar to sort emitter signal pulse, and finally got the recognition result with the Multi-Layer Percetron (MLP) neural network. Traditional Pulse Repetition Interval (PRI) estimation algorithms estimate complex pulse interval modulation invalidly. In this paper, to solve this problem pulse time-difference parameter and other pulse description words are used. The feature vector of de-interlace pulse sequence is acquired and the result of pulse interval modulation type recognition is obtained with the trained MLP neutral network. Through experimental simulation, the correct recognition probability of the complex pulse interval modulation method is more than 90% in the case of the pulse loss rate is not more than 20%.
- Pulse repetition interval recognition、Time Difference Of Arrival (TDOA) sorting、Multi-Layer Perception (MLP)、Signal sorting /

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参考文献(17)

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