基于符号检测辅助的LS干扰对齐算法

LS Interference Alignment Algorithm Based on Symbol Detection Assistance

干扰对齐(IA)作为一种干扰消除技术,通过压缩信号使干扰信号与期望信号相互独立,能有效地消除干扰信号的影响。传统IA在设计收发机的过程中由于对数据流做了期望处理,使得设计并不严格合理。根据传统的最小二乘干扰对齐(LS-IA)算法,对其在收发机算法设计上的缺点进行改善,在传统算法上引入符号检测辅助(SDA),即:首先基于传统LS-IA的设计收发机的预编码矩阵和迫零矩阵,然后进行符号检测,最后根据检测符号再次进行迭代计算设计收发机。通过计算机仿真证明,所提算法比传统的LS-IA在MSE和BER性能上各提升了50dB、20dB左右,所以抗干扰性能提升。

Interference Alignment (IA) is an interference cancellation technique that effectively eliminates the effects of interfering signals by compressing the signals so that the interfering signals are independent of the desired signals. The traditional IA has made the expected processing of the data stream in the process of designing the transceiver, so the design is not strictly reasonable. According to the traditional least square interference alignment (LS-IA) algorithm, the shortcomings of the transceiver algorithm design are improved, and the symbol detection assistance is introduced on the traditional algorithm, namely: firstly designing the transceiver based on the traditional LS-IA Precoding matrix and zero-forcing matrix, then performing symbol detection, and finally designing the transceiver based on the iterative calculation of the detected symbols again. The computer simulation proves that the proposed algorithm improves the MSE and BER performance by 50dB and 20dB respectively compared with the traditional LS-IA, so the anti-interference performance is improved.