A hybrid pilots assisted channel estimation algorithm for multiple input multiple output（MIMO） orthogonal frequency division multiplexing（OFDM） systems under low signal-to-noise ratio（SNR） and arbitrary Doppler ...A hybrid pilots assisted channel estimation algorithm for multiple input multiple output（MIMO） orthogonal frequency division multiplexing（OFDM） systems under low signal-to-noise ratio（SNR） and arbitrary Doppler spread scenarios is proposed.Motivated by the dissatisfactory performance of the optimal pilots（OPs） designed under static channels over multiple OFDM symbols imposed by fast fading channels,the proposed scheme first assumes that the virtual pilot tones superimposed at data locations over specific subcarriers are transmitted from all antennas,then the virtual received pilot signals at the corresponding locations can be obtained by making full use of the time and frequency domain correlations of the frequency responses of the time varying dispersive fading channels and the received signals at pilot subcarriers,finally the channel parameters are derived from the combination of the real and virtual received pilot signals over one OFDM symbol based on least square（LS） criterion.Simulation results illustrate that the proposed method is insensitive to Doppler spread and can effectively ameliorate the mean square error（MSE） floor inherent to the previous method,meanwhile its performance outmatches that of OPs at low SNR region under static channels.展开更多
针对恒包络信号在时变平坦衰落单输入多输出(SIMO)信道下的信噪比盲估计问题,提出一种基于 EM(Expectation-Maximization)算法的改进 M2M4-EM 算法。利用 EM 算法的迭代期望值最大化思想,推导了 SIMO 信道下 EM 算法的闭式解。为进一步...针对恒包络信号在时变平坦衰落单输入多输出(SIMO)信道下的信噪比盲估计问题,提出一种基于 EM(Expectation-Maximization)算法的改进 M2M4-EM 算法。利用 EM 算法的迭代期望值最大化思想,推导了 SIMO 信道下 EM 算法的闭式解。为进一步改善性能,通过接收信号的二阶和四阶矩(M2M4)对 EM 算法进行初始化。仿真结果表明, M2M4-EM 算法在较宽的信噪比范围内具有较好的估计精度和较快的收敛速度。展开更多
基金supported by the National High Technology Research and Development Program of China (863 Program) (2007AA01Z288)the National Natural Science Foundation of China (60702057)+2 种基金the National Science Fund for Distinguished Young Scholars (60725105)the Program for Changjiang Scholars and Innovative Research Team in University (IRT0852)the Fundamental Research Projects,Xidian University (JY10000901030)
文摘A hybrid pilots assisted channel estimation algorithm for multiple input multiple output（MIMO） orthogonal frequency division multiplexing（OFDM） systems under low signal-to-noise ratio（SNR） and arbitrary Doppler spread scenarios is proposed.Motivated by the dissatisfactory performance of the optimal pilots（OPs） designed under static channels over multiple OFDM symbols imposed by fast fading channels,the proposed scheme first assumes that the virtual pilot tones superimposed at data locations over specific subcarriers are transmitted from all antennas,then the virtual received pilot signals at the corresponding locations can be obtained by making full use of the time and frequency domain correlations of the frequency responses of the time varying dispersive fading channels and the received signals at pilot subcarriers,finally the channel parameters are derived from the combination of the real and virtual received pilot signals over one OFDM symbol based on least square（LS） criterion.Simulation results illustrate that the proposed method is insensitive to Doppler spread and can effectively ameliorate the mean square error（MSE） floor inherent to the previous method,meanwhile its performance outmatches that of OPs at low SNR region under static channels.
文摘针对恒包络信号在时变平坦衰落单输入多输出(SIMO)信道下的信噪比盲估计问题,提出一种基于 EM(Expectation-Maximization)算法的改进 M2M4-EM 算法。利用 EM 算法的迭代期望值最大化思想,推导了 SIMO 信道下 EM 算法的闭式解。为进一步改善性能,通过接收信号的二阶和四阶矩(M2M4)对 EM 算法进行初始化。仿真结果表明, M2M4-EM 算法在较宽的信噪比范围内具有较好的估计精度和较快的收敛速度。
