分析并研究通用滤波多载波(UFMC)传输模型,针对其接收端信道估计准确度较低的问题,提出一种基于滤波器分离的接收方案.在均衡器前端通过滤波器分离的方式去除滤波器参数对信道的影响,采用基于信道统计特性的信道估计算法提升信道估计准确度和误码性能.仿真结果表明,在相同的误码率条件下,该方案相比原有UFMC接收方案具有更低的信噪比,且接收端信道均衡效果更优.%This paper analyzes and researches the Universal Filtered Multi-carrier (UFMC) transmission model.Considering the low accuracy of receiver channel estimation,it then proposes a receiving scheme based on filter separation.By means of filter separation before channel equalizer,this scheme eliminates the influence of filter parameters on channels and adopts channel estimation algorithm based on channel statistical characteristics to improve the accuracy of channel estimation and Symbol Error Rate (SER) performance.Simulation result shows that,compared with traditional UFMC receiving scheme,the Signal to Noise Ratio (SNR) of the proposed scheme is lower under the same SER requirement,and the channel equalization effect is better at the receving end.
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