计算机技术与发展2024，Vol.34Issue(9)：77-81,5.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0184
基于聚类的盲信道估计算法研究与优化
Research and Optimization of Blind Channel Estimation Algorithm Based on Clustering
摘要
Abstract
The Orthogonal Frequency Division Multiplexing plays an important role in the modern communication system,and the channel estimation is the key link of the OFDM system receiver.The traditional pilot channel estimation algorithm needs a lot of pilot overhead,which reduces the channel bandwidth utilization,and the existing blind channel estimation algorithms have poor estimation performance and high algorithm complexity.In view of these deficiencies,a blind channel estimation algorithm based on improved clustering algorithm is proposed.In this algorithm,the received signal is regarded as a time-frequency two-dimensional plane at the receiving end of the system,and the plane is traversed in an iterative manner by using a time-frequency window.In the traversal process,the symbol data in the time-frequency window are clustered by an improved K-means algorithm,and the channel estimation and equalization are realized according to the symbol prior information and the channel time-frequency correlation.The computer simulation results show that the bit error rate of the improved K-means blind channel estimation algorithm is lower than that of the blind channel estimation algorithm based on simple linear precoding.And the bit error rate of the improved K-means blind channel estimation algorithm is lower than that of the subspace method when the signal-to-noise ratio is greater than 10 dB.The estimation performance is equivalent to the Minimum Mean Square Error estimation algorithm in the case of high SNR.Therefore,compared with the existing blind channel estimation algorithms,the improved K-means blind channel estimation algorithm improves the estimation accuracy and reduces the complexity of the algorithm.关键词
正交频分复用/盲信道估计/信道均衡/聚类分析/K-means算法Key words
orthogonal frequency division multiplexing/blind channel estimation/channel equalization/cluster analysis/K-means分类
信息技术与安全科学引用本文复制引用
董福才,方承志,闫路洋..基于聚类的盲信道估计算法研究与优化[J].计算机技术与发展,2024,34(9):77-81,5.基金项目
国家自然科学基金(61977039) （61977039）
