单入多出系统下基于超奈奎斯特信号的多径信道盲估计

Blind Multipath Channel Estimation in Single-Input Multiple Output System based on Faster-than-Nyquist Signaling

针对在单入多出系统下基于超奈奎斯特信号的多径信道盲估计,给出了超奈奎斯特信号的离散模型,并将其推广至单入多出系统下的多径信道模型中。然后,推导在单入多出系统下信道盲估计的基本算法,并证明信道可估计的条件。在此基础上,分析超奈奎斯特信号的噪声特点及其对算法的影响,并针对噪声对算法进行进一步的理论分析与优化。仿真结果证明,优化后的算法相比原始算法具有更优的性能。

For dealing with the problem of channel estimation for faster-than-Nyquist （FTN） signaling in single-input multiple-output （SIMO） system, the discrete model of FTN signaling is given, and this model is extended to multipath channel in the SIMO system. After that, the basic algorithm of blind channel estimation for FTN signaling in SIMO system is derived, and the condition of channel identifiability verified. In addition, the characteristics of noise in FTN signaling and its influence on algorithm are analyzed. Contraposing the noise, the algorithm is theoretically analyzed and optimized. The simulation results indicate that the optimized algorithm has a better performance than the traditional algorithm.