摘要： 非正交多址接入（Non-Orthogonal Multiple Access， NOMA）下行多用户传输场景中，基站将发送给多个用户的信息在频率域进行叠加，各用户通过串行干扰消除（Successive Interference Cancellation， SIC）来消除其他用户的干扰。在解调和SIC前，需要进行多用户的参数盲检测， 从而降低NOMA 系统信令开销。通过对星座图的形状特征的利用，提出一种基于小波聚类的多参数盲检测算法，该算法利用到了聚类中的网格法。仿真结果表明，提出的算法检测性能优于经典的基于对数最大似然估计（Max-Log Likelihood Estimation， MLLE）算法且计算复杂度与之相当。 关键词：NOMA；盲检测；小波聚类；网格法

中文引用格式： 刘佳，张浩，王波. 一种基于小波聚类的NOMA系统SIC盲检测算法[J]. 电子技术应用，2023，49(12)：114-119.
英文引用格式： Liu Jia，Zhang Hao，Wang Bo. A novel blind detection algorithm for successive interference cancellation in NOMA system based on wavelet cluster[J]. Application of Electronic Technique，2023，49(12)：114-119.

A novel blind detection algorithm for successive interference cancellation in NOMA system based on wavelet cluster

Abstract： In NOMA downlink multi user transmission scenario, the base station transmits a data packet by multi-user superposition to a destination in the frequency domain. In this system, successive interference cancellation (SIC) receiver is used to eliminate the co-channel interference for each user. Before demodulation and SIC, a blind detection for multi user parameter is required to reduce the signaling overhead of the NOMA system. By utilizing the shape features of constellation map, a blind detection algorithm for multi parameters based on wavelet clustering is proposed, which utilizes the grid-based method in clustering. The simulation results show that the proposed algorithm achieves higher detection performance than the max-log likelihood estimation (MLLE) algorithm under the approximate computation complexity.

Key words : NOMA；blind detection；wavelet cluster；grid-based method