基于单片机的通信微弱信号自适应增强方法

Adaptive Enhancement Method for Communication Weak Signal Based on Single Chip Microcomputer

为了让单片机在更多的领域具有广泛的应用性,使其通信微弱信号能够被采集到,并且不会被噪声影响以致失真,本文研究得到一种基于单片机的通信微弱信号自适应增强方法。该方法以MSP430F149型单片机通信微弱信号的傅里叶转换探测原理为基础,将信号振幅通过均方根值进行归一化的无量纲处理,简化其收敛条件,然后经探究得到基于四阶累积量且讯噪比输出效果极佳的有限冲激响应滤波器,最终构建以极小均方算法为基础的自适应增强方法。经仿真实验对比分析后,发现本文方法由于极小均方算法的运用,使得运算过程极其简易,适用于各个领域,而且该方法对各类噪声的处理效果较好,使信号既不会被噪声淹没,也不产生失真情况,与此同时又能针对性地对通信微弱信号实现有效的自适应增强。

In order to make the MCU have wide application in more fields,so that the weak signal of communication can be collected,and it will not be affected by noise and distortion,this paper studies a self-adaptive enhancement method of communication weak signal based on single chip microcomputer.The method is based on the Fourier transform detection principle of MSP430 F149 type single-chip communication weak signal,and the dimensionless processing is performed by normalizing the signal amplitude through the rms value,simplifying the convergence condition,and then finding the fourth-order cumulant based on the investigation.The finite impulse response filter with excellent signal-to-noise ratio output effect finally constructs an adaptive enhancement method based on the minimum mean square algorithm.After comparative analysis by simulation experiments,it is found that the method is extremely simple and suitable for various fields due to the application of the minimal mean square algorithm.Moreover,the method has better effect on various types of noise,so that the signal is not affected by noise.Submerged,no distortion occurs,and at the same time,effective adaptive enhancement of weak communication signals can be achieved in a targeted manner.