数字信道化精确重构的智能电磁频谱识别方法

Research on Intelligent Electromagnetic Spectrum Recognition Method Based on Digital Channelization and Accurate Reconstruction

数字信道化技术常常用于宽带电磁信号接收,当其分析滤波器组和综合滤波器组具有精确重构特性时,就可实现接收信号的精确重构。针对复杂电磁环境感知领域的电磁频谱识别问题,需要对接收机接收到的电磁信号精确还原,并基于精确还原的信号进行频谱识别。提出一种基于数字信道化精确重构的智能电磁频谱识别技术,首先搭建可实现信号精确重构的数字信道化接收机结构;然后采用小波分析的方法构建信号的时频瀑布图,并基于时频瀑布图采用人工智能技术处理实现电磁频谱识别;最后给出仿真结果。仿真结果表明了基于数字信道化精确重构的智能电磁频谱识别方法的正确性和有效性。

Digital channelization technology is often used for broadband electromagnetic signal reception.When its analysis filter banks and comprehensive filter banks have precise reconstruction characteristics,accurate reconstruction of the received signal can be achieved.For the electromagnetic spectrum recognition problem in the field of complex electromagnetic environment perception,it is necessary to accurately restore the electromagnetic signal received by the receiver and perform spectrum recognition based on the accurately restored signal.The article proposes an intelligent electromagnetic spectrum recognition technology based on precise reconstruction of digital channelization.Firstly,a digital channelized receiver structure that can achieve precise signal reconstruction is constructed.Then,wavelet analysis is used to construct a time-frequency waterfall diagram of the signal,and artificial intelligence processing is performed based on this graph to achieve electromagnetic spectrum recognition.Finally,simulation results are provided.The simulation results in the article demonstrate the correctness and effectiveness of the method.