摘要
在多输入多输出系统中,采用球形解码检测算法和QRD-M算法均能在相对复杂度较低的情况下取得逼近最大似然检测算法的性能。虽然球形检测算法在高信噪比的情况下的平均复杂度要低于QRD-M算法,但其在低信噪比的情况下复杂度会急剧上升。针对这一问题,在分析球形解码算法与QRD-M算法平均复杂度的基础上,通过在解码检测之前设置信噪比判决模块,结合球形解码算法与QRD-M算法的优点形成混合检测方法。仿真结果表明,提出的混合检测方法能在保证检测性能的基础上,在宽信噪比范围内降低算法的复杂度。
In the multiple-input multiple-output systems,both sphere decoder（SD） algorithm and QR decomposition（QRD-M） algorithm have near-ML performance with relative low complexity.Though SD algorithm has the lower average complexity than QRD-M algorithm in high SNR condition,the algorithm complexity will sharply rise in low SNR condition.In order to solve this problem,after analyzing the average complexity of SD algorithm and QRD-M algorithm,in this paper,hybrid detection methods combined both the advantages of SD algorithm and QRD-M algorithm by setting SNR detection module before decoding.Simulation results show that the proposed methods can reduce the algorithm complexity in wide SNR range with excellent performance.
出处
《电子测量技术》
2011年第3期29-32,53,共5页
Electronic Measurement Technology
