Abstract: Ultrahigh speed ADC（Analog to Digital Converter） sampling and fixed-frequency signal separation are long-standing problems for the wideband and non-cooperative frequency hopping signal in passive location. According to compressed sampling theory, analog information can be converted into digital information with far less than the Nyquist sample rate for some wideband signals are sparse in expression dictionary. However, sampling information that signal reconstruction needs increases sharply when multiple fixed-frequency signals exist, which brings tremendous complexity for AIC（Analog to Information Converter） module of distributed sensor system. Fixed-frequency interference AIC information of the target frequency band can be filtered out based on subspace projection. Simulation results show that the method is feasible.

摘要： 在对宽频段的非合作跳频信号进行无源定位场合，超高速数模转换（ADC）采样和各种定频信号的分离已经成为瓶颈。根据压缩采样理论，对于在某些表达基上为稀疏的宽频段信号，可以用远低于Nyquist门限的采样率来进行模拟信息转换（AIC），但是对于有多个定频信号存在的情况，信号重建需要的信息样点数陡然增加，这给分布式传感器系统中的AIC部分的实现带来极大的复杂度。基于子空间投影技术，提出了一种能抑制目标频带内定频干扰信号的跳频信号模拟压缩采样方法，仿真结果表明该方法是可行的。