Implementation of Noise Cancellation using Adaptive Algorithms in GNU Radio

L. Harshitha, Kumari N D Sindhu, C. Rekha, S. Ramya, B. T. V. Murthy
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Abstract

The demand for wireless communication system design is on the rise recent days. When data is transferred through a wireless channel, the noise on the channel has a larger probability of affecting the information. The suggested project attempts to aid in the reduction of noise through the use of an adaptive filter in order to ensure reliable communication. In this way noise cancellation plays an important role in digital communication. GNU Radio is an open framework for building real-time signal processing applications on low-cost single-board computers. C++ and Python language is suitable for backend in GNU radio. MATLAB and python simulation for different algorithms helps in analysing reduced noise and rate of convergence.
在GNU Radio中使用自适应算法实现噪声消除
近年来,人们对无线通信系统设计的要求越来越高。当数据通过无线信道传输时,信道上的噪声对信息的影响概率较大。建议的项目试图通过使用自适应滤波器来帮助减少噪音,以确保可靠的通信。因此,噪声消除在数字通信中起着重要的作用。GNU Radio是一个用于在低成本单板计算机上构建实时信号处理应用程序的开放框架。c++和Python语言适用于GNU电台的后端。MATLAB和python对不同算法的仿真有助于分析降低的噪声和收敛速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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