首页|一种用于解调失真QAM信号的改进K-means聚类算法

一种用于解调失真QAM信号的改进K-means聚类算法

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在短距离无线通信中,无线节点或移动终端通常有低成本、小体积、低功耗的要求,因此无法使用复杂的预失真或补偿电路克服功放的非线性影响,这是无线节点或移动终端在上行链路中难以使用高阶QAM调制的重要原因之一.基于QAM矩形星座的特点,提出了一种K-means聚类的改进算法作为中央基站节点的高阶QAM解调算法.在发送信号受到较严重的功放非线性失真时,所提改进算法解调性能更优,算法复杂度更低.
An improved K-means clustering algorithm for demodulation of distorted QAM signals
Wireless network nodes and mobile devices are always constrained by power,dimension and price in the shortrange wireless communication system.Thus,it's impossible for them to use some complex methods such as pre-distortion and compensation to restrain the nonlinear effects caused by power amplifier,which is one of the important reasons why the high order QAM could not be used in uplink.Based on the characteristics of QAM rectangular constellation,an improved K-means clustering algorithm is presented to be the demodulation algorithm of high order QAM.It has better demodulation performance and lower computational complexity.

demodulation of high order QAMK-means clustering algorithmnonlinearity of PA

彭军、范兴山、黄乐天、郭志勇

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电子科技大学,四川成都610036

高阶QAM解调 K-means聚类算法 功放非线性影响

国家自然科学基金

61176025

2014

电子技术应用
华北计算机系统工程研究所(中国电子信息产业集团有限公司第六研究所)

电子技术应用

CSTPCD北大核心
影响因子:0.567
ISSN:0258-7998
年,卷(期):2014.40(11)
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