This paper investigates the fundamental data detection problem with burst interference in massive multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) systems. In particular, burst inte...This paper investigates the fundamental data detection problem with burst interference in massive multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) systems. In particular, burst interference may occur only on data symbols but not on pilot symbols, which means that interference information cannot be premeasured. To cancel the burst interference, we first revisit the uplink multi-user system and develop a matrixform system model, where the covariance pattern and the low-rank property of the interference matrix is discussed. Then, we propose a turbo message passing based burst interference cancellation(TMP-BIC) algorithm to solve the data detection problem, where the constellation information of target data is fully exploited to refine its estimate. Furthermore, in the TMP-BIC algorithm, we design one module to cope with the interference matrix by exploiting its lowrank property. Numerical results demonstrate that the proposed algorithm can effectively mitigate the adverse effects of burst interference and approach the interference-free bound.展开更多
为了提高大规模多用户-多输入多输出-正交频分复用系统运行效率以及降低系统硬件花费,将凸优化方法引入MU-MIMO-OFDM系统的下行链路中,从而降低发射信号的峰值平均功率比.首先,将多用户预编码、OFDM调制、降低发射信号PAPR及发射信号功...为了提高大规模多用户-多输入多输出-正交频分复用系统运行效率以及降低系统硬件花费,将凸优化方法引入MU-MIMO-OFDM系统的下行链路中,从而降低发射信号的峰值平均功率比.首先,将多用户预编码、OFDM调制、降低发射信号PAPR及发射信号功率约束建立成数学模型.然后,设计线性交替方向乘子法(linear alternating direction multiplier method,LADMM)求解凸优化问题.仿真结果表明,该方法只需较少的计算复杂度就可在大规模MU-MIMO-OFDM系统中获得很好的降低发射信号峰均比效果,同时具有较低的符号错误率.展开更多
提出了一种适用于时间频率选择性衰落信道的MIMO-OFDM系统的组合信道估计方法。采用AR过程对信道进行建模,利用基于导频的低维Kalman滤波算法进行信道估计,并采用LS算法估计时变的信道衰减因子。Kalman滤波跟踪了信道的时域相关性,为了...提出了一种适用于时间频率选择性衰落信道的MIMO-OFDM系统的组合信道估计方法。采用AR过程对信道进行建模,利用基于导频的低维Kalman滤波算法进行信道估计,并采用LS算法估计时变的信道衰减因子。Kalman滤波跟踪了信道的时域相关性,为了同时跟踪信道的频域相关性,采用了一种基于MMSE(minimum mean square error)的合并器对Kalman滤波算法进行修正。仿真表明,提出的这种组合算法降低了传统的Kalman滤波结构的复杂度,能够跟踪信道的时频变化,改进了基于LS准则的信道估计算法,并且与复杂的高维Kalman滤波算法的信道估计性能相当。展开更多
基金supported by the National Key Laboratory of Wireless Communications Foundation,China (IFN20230204)。
文摘This paper investigates the fundamental data detection problem with burst interference in massive multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) systems. In particular, burst interference may occur only on data symbols but not on pilot symbols, which means that interference information cannot be premeasured. To cancel the burst interference, we first revisit the uplink multi-user system and develop a matrixform system model, where the covariance pattern and the low-rank property of the interference matrix is discussed. Then, we propose a turbo message passing based burst interference cancellation(TMP-BIC) algorithm to solve the data detection problem, where the constellation information of target data is fully exploited to refine its estimate. Furthermore, in the TMP-BIC algorithm, we design one module to cope with the interference matrix by exploiting its lowrank property. Numerical results demonstrate that the proposed algorithm can effectively mitigate the adverse effects of burst interference and approach the interference-free bound.
文摘为了提高大规模多用户-多输入多输出-正交频分复用系统运行效率以及降低系统硬件花费,将凸优化方法引入MU-MIMO-OFDM系统的下行链路中,从而降低发射信号的峰值平均功率比.首先,将多用户预编码、OFDM调制、降低发射信号PAPR及发射信号功率约束建立成数学模型.然后,设计线性交替方向乘子法(linear alternating direction multiplier method,LADMM)求解凸优化问题.仿真结果表明,该方法只需较少的计算复杂度就可在大规模MU-MIMO-OFDM系统中获得很好的降低发射信号峰均比效果,同时具有较低的符号错误率.
文摘提出了一种适用于时间频率选择性衰落信道的MIMO-OFDM系统的组合信道估计方法。采用AR过程对信道进行建模,利用基于导频的低维Kalman滤波算法进行信道估计,并采用LS算法估计时变的信道衰减因子。Kalman滤波跟踪了信道的时域相关性,为了同时跟踪信道的频域相关性,采用了一种基于MMSE(minimum mean square error)的合并器对Kalman滤波算法进行修正。仿真表明,提出的这种组合算法降低了传统的Kalman滤波结构的复杂度,能够跟踪信道的时频变化,改进了基于LS准则的信道估计算法,并且与复杂的高维Kalman滤波算法的信道估计性能相当。
