Research on Signal Processing and Noise Analysis of Wireless Sensor

In recent years, the Internet of Things technology has become increasingly mature, playing an important role in the fields of logistics, smart home, environmental monitoring, military, and medical health. Among them, there are two important problems in the collection of data, one is energy consumption and energy distribution, and the other is noise processing of data collection. The research topic of this paper focuses more on the noise processing problems in data collection. This study which uses the literature review methods mainly discusses the problem of signal collection and noise processing of wireless sensors, including reducing noise by analyzing the three elements of noise, modifying hardware and algorithms to reduce noise, obtaining a higher signal-to-noise ratio and more accurate and stable output results, and how to collect information normally in a noisy environment. Minimize the impact of noise. In conclusion, this paper explores the influence of sensor noise in agriculture, health, indoor positioning, circuit and other fields, directly improve the noise coupling mode, and propose the algorithm of minimum total error entropy. These processing methods proposed for a certain environment can solve the noise problem well and improve the purity of signal collection.