摘要
针对传统的正交频分复用系统盲均衡方法中存在接收数据短、收敛速度慢的问题,提出了一种基于符号间干扰变步长迭代的多模混合算法的正交频分复用系统盲均衡新方法.该方法首先将接收数据进行了分段复用,然后将修正的恒模算法与判决引导算法进行多模混合,并在均衡过程中采用了基于符号间干扰的变步长迭代方式.仿真结果表明,在非合作通信中,该方法不但加快了收敛速度,而且保证了稳态收敛性能.
The traditional methods of blind equalization for orthogonal frequency division multiplexing (OFDM) systems have the problems of slow convergence rate and short received data. A novel blind equalization method of OFDM systems based on the multi-modulus hybrid algorithm and variable step size iteration of inter symbol interference is proposed to solve this problem. Piecewise multiplexing of the received data is adopted in this method, and then the modified constant modulus algorithm and the decision directed algorithm are mixed into the multi-modulus hybrid algorithm. This equalization method is utilized by the variable step size iteration based on inter symbol interference. Simulation results show that the proposed method has not only more stable convergence performance but also faster convergence speed than the traditional equalization methods in non-cooperative communication.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2016年第3期1-5,共5页
Journal of Xidian University
基金
国家自然科学基金资助项目(61501348
61271299)
国家博士后科学基金资助项目(2014M562372)
国家“863”高技术研究发展计划资助项目(2007AA01Z288)
高等学校学科创新引智计划资助项目(B08038)
关键词
盲均衡
正交频分复用
多模混合
符号间干扰
非合作通信
blind equalization
orthogonal frequency division multiplexing
multi-modulus hybrid
intersymbol interference
non-cooperative communication