摘要
针对复杂电磁环境下,高集成小型化电子侦察设备对宽带数字信号处理存在的算力不足问题,设计了一种“频谱稀疏感知+自适应信道化”的电子侦察处理架构,利用信号在频域上的稀疏性,在频谱感知基础上自适应构造带通滤波器进行滤波处理,从而减少信道数量并节省大量FPGA处理资源。在频谱稀疏感知方面,研究基于单比特的宽带频谱实时感知技术,只利用AD数据的符号位即可进行频谱感知计算,处理数据量大幅减少。在自适应信道化方面,研究基于递归算法的时频滤波器实现信道化滤波技术,利用递归算法实现时频滤波中的傅里叶变换,通过递归算法的“记忆”效应减少信号滤波处理中的重复计算。
Aiming at the problem of limited computing power in broadband digital signal processing of highly integrated and miniaturized electronic reconnaissance equipment in complex electromagnetic environment,the process architecture combining spectrum sparse sensing and adaptive channelized algorithm is recommended.The algorithm makes use of the signal sparse property in frequency domain and adaptively constructs a band-pass filter which based on single bit is studied.The spectrum sensing calculation can be carried out only by using the symbol bit of AD data,so the data to be processed can be greatly decreased.For the adaptive channelized technology,the channelized filtering technology is studied by making use of time-frequency filter which based on recursive algo⁃rithm.The Fourier transform in time-frequency filter is realized by recursive algorithm,so the memory effect of recursive algorithm is used to reduce the repeated calculation in signal filtering processing.
作者
邹顺
王玉山
Zou Shun;Wang Yushan(East China Research Institute of Electronic Engineering,Hefei 230031,Anhui,China)
出处
《航天电子对抗》
2022年第6期46-50,共5页
Aerospace Electronic Warfare
关键词
宽带电子侦察
有限算力
频谱稀疏感知
自适应信道化
递归算法
broadband electronic reconnaissance
limited computing power
spectrum sparse sensing
adap⁃tive channelized
recursive algorithm
