基于消息传递的OTFS信号检测算法综述OA北大核心

As orthogonal time frequency space(OTFS)well solves the influence of Doppler shift,it can easily adapt to the transmission under fast time-varying channel,and occupies a great position as the core technology in the sixth generation(6G)mobile communication system.Meanwhile,signal detection plays a very important role in the performance of OTFS in channel transmission,and message passing(MP)is currently widely used as the mainstream signal detection algorithm in OTFS systems.However,the MP signal detection algorithm still faces more difficulties in the practical environment.The authors firstly introduce the basic principle and general framework of OTFS system,explain the signal detection principle of MP algorithm,and then divide the optimization algorithms of MP algorithm into four major categories,including approximate message passing(AMP)algorithm,Gaussian approximate message passing(GAMP)algorithm,orthogonal approximate message passing(OAMP)algorithm and unitary approximate message passing(UAMP)algorithm.The algorithms of each category are summarized and compared with their principles and existing optimization algorithms.Finally,the technical challenges faced by MP algorithms and their optimization algorithms are analyzed and explained,and the future development trend of the MP algorithms is outlooked.