针对超宽带抗干扰通信中较难实现射频窄带干扰(NBI)估计问题,根据超宽带信号为时域极窄脉冲而窄带干扰为连续波这一主要特点以及窄带干扰的频域稀疏特性,提出了一种基于压缩传感理论的改进正交匹配追踪(OMP)估计算法,该算法以重构误差变化率作为匹配过程的迭代终止条件,在低于奈奎斯特采样率下进行窄带干扰信号频率和幅度估计。理论分析和实验表明,该算法利用射频接收信号的欠采样值,采用较少的迭代次数,可以有效实现超宽带系统中单个或者多个窄带干扰信号估计。
Aiming at the difficulty of radio frequency narrowband interference(NBI) estimation in ultra-wideband anti-jamming communication,considering that UWB signal is extreme narrow pulse while NBI is continuous wave and NBI has the characteristic of sparse representation in frequency domain,an improved orthogonal matching pursuit(OMP) algorithm based on compressed sensing theory is proposed,which estimates the frequency and amplitude of NBI through setting the reconstruction error changing rate as the stopping criterion for iteration in the matching process under a sampling rate below the Nyquist sampling rate.Theoretical analysis and experiment show that single-tone or multi-tone NBIs in IR-UWB system can be estimated effectively using sub-Nyquist samples of received radio frequency signal with fewer iteration number.