摘要
提出了一种新型的基于自适应滤波的QAM解调算法和频偏估计方法。以最小均方误差自适应算法(LMS)为例,讨论了采用本解调算法解调的过程及其性能。本解调算法无需自适应滤波器完成收敛,从而降低了对采样频率和处理速度的要求。仿真结果表明:本解调算法的误码率理论值与仿真结果一致性好。同时,基于本解调算法的频偏估计,能方便地给出频偏大小。
This paper presents a novel method for demodulating the quadrature amplitude moadulation（QAM） signals and frequency-deviation estimating based on adaptive filtering. The commonly used least mean square（LMS）error adaptive filte- ring algorithm is employed for studying the demodulating procedure and the performance of the novel adaptive QAM demodulation. The novel adaptive QAM demodulation does not need the adaptive filter completing convergence. Therefore, the sampling rate and processing speed are decelerated. The performance of the adaptive QAM demodulation method in theory is compared with computer simulating results. It shows that the error rates in simulation agree well with that in theory. Also, it is convenient to get the frequency-deviation estimation by using this method.
出处
《电波科学学报》
EI
CSCD
北大核心
2009年第3期541-545,共5页
Chinese Journal of Radio Science
基金
国家高科技发展计划项目(2006AA01Z268)
国家自然科学基金(60671007)
关键词
自适应频偏估计
自适应解调
QAM解调
adaptive frequency-deviation estimation
adaptive demodulation
QAM demodulation
