摘要
随着遥测网络数据量的增加,传输信道的多径衰落严重影响接收性能。盲均衡算法实现结构简单,但仅在平衰落信道下提供优良的均衡性能。数据辅助的均衡算法能够抗深度衰落,但存在均衡误差较大的问题。针对上述两类算法的限制,利用数据辅助抗衰落的特点,结合盲均衡简单的实现结构并进一步补偿信道估计误差,提出了数据辅助和恒模准则盲均衡联合均衡算法,用于提升整体均衡的性能。通过以遥测网络标准中的成形偏移四相相移键控(Shaped Offset Quadrature Phase Shift Key,Telemetry Group version,SOQPSK-TG)为调制信号搭建系统仿真,结果表明该混合算法优于传统基于数据辅助均衡算法和盲均衡算法,能够提供至少3 dB的误码率解调增益。
With the increased transmitted data in the telemetry network,the performance of the receiver is degraded due to multipath fading.Although blind equalization methods have low implementation complexity,they only work in flat fading channels.The data-aided equalization methods can overcome the deep fading,but the equalization error is high.In order to overcome the limitations of the above two equalizers,the authors propose a joint data-aided and blind equalization algorithm to improve the equalization performance,in which data-aided equalization is used to conquer deep multipath fading and the blind equalization is used to compensate the channel estimation error further with its low implementation complexity.Through the numerical simulation for the shaped offset quadrature phase shift key,telemetry group version(SOQPSK-TG)system of the telemetry network standard,the results demonstrate that the proposed joint equalization method has better performance than the conventional data-aided and blind equalization methods,providing at least 3 dB bit error rate gain.
作者
王乐
吴胥岑
WANG Le;WU Xucen(School of Information Science and Technology,North China University of Technology,Beijing 100144,China)
出处
《电讯技术》
北大核心
2024年第9期1444-1449,共6页
Telecommunication Engineering
基金
国家自然科学基金资助项目(62101006)
北京市自然科学基金项目(4204095)
北京市教委科技计划一般项目(KM202110009003)。
关键词
遥测网络
联合均衡
信道估计
连续相位调制
telemetry network
joint equalization
channel estimation
continuous phase modulation
