电力无线专网中信号的联合检测算法研究

Joint Detection Algorithms for Signal in Power Wireless Private Network

针对电力无线专网中数据信号的多次连续重复传输,现有方案在均衡后对重复信号进行累加平均,并在比特软值计算中忽略星座图放大倍数,严重影响了衰落信道下的联合检测性能。为此,文章提出在比特软值计算中考虑星座图放大倍数,重复信号在均衡后进行最大比合并(Maximum Ratio Combining,MRC)或在解扰后进行比特软值合并,以改善衰落信道下的检测性能。仿真结果表明,所提方案能够提升衰落信道下的检测性能约10 dB(BLER=10-2),性能更优,且译码次数保持不变,检测复杂度及所需缓存空间未显著增加,能够更好地满足各种实际应用场景需求。

For multiple continuous repeated transmission of data signals in power wireless private networks,the existing schemes accumulate and average the repeated signals after equalization,and ignore the constellation magnification in the calculation of bit soft values,which seriously affects the joint detection performance under fading channels.To that end,some improvements are proposed to improve detection performance in fading channel.Not only constellation magnification must be considered in soft information calculation,but also the repeated signals is combined by maximum ratio combining after equalization,or combined after bit descrambling.Simulation results show that these improvements can improve the detection performance in fading channel by almost 10 dB at BLER 10–2.At the same time,the computation complexity is almost kept at the same level.