In performance,carrier frequency offset generated by the system synchronization can cause not only nonlinear frequency offset self-interference in the ultra-wideband millimeter-wave multi-input multi-output(MIMO)orthogonal frequency division multiplexing(OFDM)system,but also influence of subse-quent channel estimation performance.For this reason,this paper proposes a method for joint estimation of nonlinear frequency offset self-interference and channel,by exploiting the hyper-dimensional hidden space of data,reducing the complex multi-objective optimization problem into multiple parallel solvable sub-optimization problems,and using the sparse characteristics of ultra-wideband millimeter wave chan-nels to realize iterative estimation of carrier frequency offset and channel based on compressive sensing.Compared with the existing methods,the simulation results show that the proposed method can effectively reduce the computational complexity by nearly one order of magnitude,improve the accuracy of channel estimation,and reduce the system bit error rate.
关键词
超宽带毫米波/MIMO-OFDM/非线性频偏自干扰/信道估计
Key words
ultra-wideband millimeter wave/MIMO-OFDM/nonlinear frequency offset self-interference/channel estimation
维普
万方数据