球形译码算法在信号空间分集系统中的应用研究

发布时间：2019-01-25 08:57

【摘要】：针对信号空间分集系统中最大似然检测算法复杂度高的问题,选用球形译码算法作为信号空间分集系统接收机检测算法,可以使接收机在接近最大似然算法检测性能的同时,降低接收机检测复杂度。为进一步降低检测复杂度,通过采用最小均方误差算法减小噪声对接收信号的干扰来降低因搜索噪声点而产生的复杂度,并利用衰减因子k加快搜索半径收缩来达到进一步降低球形译码算法检测复杂度的目的。仿真结果表明,在信号空间分集系统中引入球形译码算法可以降低接收机检测复杂度,并且改进后的球形译码算法检测时间在低信噪比情况下约为传统球形译码算法的12%~33%。因此,球形译码算法可以有效地降低信号空间分集系统接收机检测复杂度。
[Abstract]:In order to solve the problem of high complexity of maximum likelihood detection algorithm in signal space diversity system, the spherical decoding algorithm is chosen as the receiver detection algorithm of signal space diversity system, which can make the receiver approach the detection performance of maximum likelihood algorithm at the same time. Reduce the complexity of receiver detection. In order to further reduce the detection complexity, the minimum mean square error algorithm is used to reduce the noise interference to the received signal to reduce the complexity caused by searching the noise points. The attenuation factor k is used to reduce the detection complexity of the spherical decoding algorithm. Simulation results show that the detection complexity of receiver can be reduced by using spherical decoding algorithm in signal space diversity system. And the detection time of the improved spherical decoding algorithm is about 12 / 33 of the traditional spherical decoding algorithm in the case of low signal-to-noise ratio (SNR). Therefore, the spherical decoding algorithm can effectively reduce the detection complexity of signal space diversity system receiver.
【作者单位】：空军工程大学装备管理与安全工程学院;空军工程大学装备发展与运用研究中心;
【基金】：国家自然科学基金资助项目(6150051163)
【分类号】：TN919.32

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