一种基于MIMO的改进型信号检测K-Best算法  

Improved K-Best Signal Detection Algorithm for MIMO Systems

作　　者：杨佳琳[1] 仝怡[1] YANG Jialin;TONG Yi

机构地区：[1]中国电子科技集团公司第二十研究所,西安710068

出　　处：《现代导航》2017年第2期142-146,共5页Modern Navigation

摘　　要：MIMO是一种显著降低未来塔康(TACAN)导航系统的信号检测的误码率的技术。最大似然算法(ML)是MIMO无线系统的最佳硬判决检测方式,但是其会随着天线数目和调制阶数的增加,其复杂度呈指数规律增加。传统K-Best算法虽克服ML算法的缺点,降低了检测算法的计算复杂度,节约计算成本,但其BER性能略有下降。改进型K-Best算法采用最优检测快速QR分解、预处理技术(SE)和球型译码技术(SDA)检测手段克服传统K-Best算法的缺点。仿真结果表明改进型K-Best算法相对于传统算法,明显提高了BER性能。MIMO is a technology that can significantly reduce the error rate of future TACAN navigation systems.The maximum likelihood algorithm(ML)is the best way to detect hard decision MIMO wireless systems.However,its complexity increases exponentially with increase of the number of antennas and the modulation order.Although the traditional K-Best algorithm has overcame the shortcomings ML,reduced the computational complexity of the detection algorithm and save the calculation cost and decreased its BER performance.The improved K-Best algorithm adopting optimum detection fast QR decomposition,optimal pretreatment technology(SE)and the sphere decoding algorithm(SDA)detection overcomes the shortcomings of the traditional K-Best algorithm.Simulation results show that the improved K-Best algorithm not only reduces the computational complexity and cost savings,but also significantly improves the BER performance compared with the traditional method.

关 键 词：MIMO技术 改进型K-Best算法 快速QR分解 BER性能 

分 类 号：TN914[电子电信—通信与信息系统]