基于自适应陷波的非均匀采样信号处理系统

非均匀采样可以突破奈奎斯特采样定理的限制,检测出超过采样频率的信号频率,但非均匀采样引起信号的频谱噪声,使得非均匀采样的小信号检测难于实现。研制了一种实时非均匀采样信号处理系统,采用自适应陷波方法计算非均匀采样信号的频率,逐步滤除幅度较大的信号,从而检测出小幅度信号。详细说明了自适应陷波方法的原理和实现方法,并介绍了基于数字信号处理器(DSP)的非均匀采样信号处理系统。

Adaptive Notch Filter Based Signal Processor System of Nonuniform Sampling

The theory of nonuniformly sampling can avoid aliasing in signal analysis,processing signals with components whose frequencies exceed the Nyquist limit.The disadvantage of nonuniformly sampling is there exists the noise in spectrum analysis,so it's difficult to detect the low amplitude signals.A novel notch filter method for nonuniform sampling is proposed in this paper.This method is very effective to suppress noise of spectrum by filtering the signal with the maximal amplitude so that it can detect the low amplitude signal.A real time processing system based on digital signal processor is described in this paper,This system is small sized because it adopts a DSP.The testing results indicate that the adaptive notch filtering method and processing system are efficient.