光纤入侵信号识别的嵌入式实现方法

Embedded Realization of Optical Fiber Intrusion Signal Identification

本文提出了一种光纤入侵信号的嵌入式平台实现方法.算法主要分为2个部分:训练模块和识别模块.训练模块包括模板训练和阈值训练.识别模块主要是基于训练部分的结果进行模板匹配和判别.通过分析所提出算法的处理时间及运算特点,将算法处理时间分解映射在FPGA+DSP的嵌入式处理器上进行实现.本文提出的实现方法已移植到嵌入式处理板,并在光纤预警系统平台进行了搭载试验,可以满足光纤预警系统对识别信号类型的实时性能要求.

This paper presents a method of embedded platform for recognizing optical fiber intrusion signal.The algorithm is divided into two parts：the training module and the recognition module.The training modules include template training and threshold training.The recognition module is mainly based on the results of the training part of the template matching and discrimination.The proposed algorithm for the processing time and computing characteristics having been analyzed,the processing time is decomposed and mapped to the embedded processor by FPGA and DSP.The implementation method proposed in this paper is transplanted to the embedded processing board,and is tested on the optical fiber pre-warning system platform.And it meets the requirements of the real-time identification of the signal type of the optical fiber pre-warning system.