Investigation of acquisition of the UWB signals based on BP neural network

YANG Zhi-hua1; ZHANG Qin-yu1; CHEN Ping2; XU Hong-guang1

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Investigation of acquisition of the UWB signals based on BP neural network

更新时间：2024-10-14

- Investigation of acquisition of the UWB signals based on BP neural network
- Issue 10, Pages: 149-154(2005)
- 作者机构：
  
  1. 哈尔滨工业大学深圳研究生院通信工程研究中心
  2. 哈尔滨工业大学通信技术研究所
  3. 哈尔滨工业大学深圳研究生院通信工程研究中心,广东,深圳,510085
  4. ,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5
- Published：2005
- 稿件说明：
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YANG Zhi-hua1, ZHANG Qin-yu1, CHEN Ping2, et al. Investigation of acquisition of the UWB signals based on BP neural network[J]. 2005, (10): 149-154.
DOI：

YANG Zhi-hua1, ZHANG Qin-yu1, CHEN Ping2, et al. Investigation of acquisition of the UWB signals based on BP neural network[J]. 2005, (10): 149-154. DOI：

摘要

根据UWB信号的特性提出一种在低信噪比条件下实现快速捕获的新方法

即利用BP前向神经网络对极窄脉冲信号进行捕获

有效减少了在低信噪比条件下的平均捕获时间。其中着重分析了利用BP神经网络在低信噪比条件下检测窄脉冲信号的可行性以及接收信号的信噪比对检测的影响。并且对仿真出现的问题进行了分析

得出了一些有价值的结论。

Abstract

A new method based on BP neural networks was proposed here to implement the fast acquisition of UWB signals with the condition of low SNR.The BP neural network was used to match the extreme short pulse in this study.It could improve the performance of the acquisition efficiently.The feasibility and efficiency of the new method were discussed.The influence of the SNR in UWB system was analyzed.The simulation results highly indicate the usefulness of the method pointed out in this study.

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