基于OTFS的城轨T2T通感一体化信号设计与优化OA北大核心CSTPCDEI
Design and optimization of ISAC signal for urban railway T2T based on OTFS
为了在B5G/6G商用频谱资源紧缺的环境下,对现有城市轨道交通列车运行控制设施基础上进行改造,以实现基于车-车通信的列车信息传递,提出基于正交时频空(OTFS)调制的通信感知一体化信号设计.首先提出单符号和多符号OTFS时域信号模糊函数模型,对两者的距离模糊性和速度模糊性进行仿真对比,以验证原始多符号OTFS信号感知性能的优越性.再提出蚁群优化(ACO)算法与经典选择映射法(SLM)的结合ACO-SLM算法,设计应用ACO-SLM算法的OTFS系统发射机结构,用来对原始OTFS信号的高峰均功率比进行抑制,并将抑制作用通过仿真实验进行横向和纵向对比.最后经过ACO-SLM算法处理后的OTFS时域信号模糊性与传输误比特率进行仿真分析.研究结果表明:改变算法参数进行横向对比显示,16QAM星座调制作为输入序列,用相位因子组数为16的ACO-SLM算法处理OTFS信号,峰均功率比为6.03,为最低水平;纵向对比显示,ACO-SLM算法相比于其他传统算法,对峰均功率比有更好的抑制作用.对ACO-SLM算法处理的多符号OTFS时域信号进行模糊性仿真分析,显示其测距和测速性能有所提升,且传输误比特率与传统算法处理后的OTFS信号相比,几乎不受影响.研究结果为面向B5G/6G的城轨车-车通信感知一体化实现和基于车-车通信的列车运行控制提供了理论依据.
In the context of the shortage of B5G/6G commercial spectrum resources,we reformed existing urban railway train operation control facilities to realize train information transmission based on train-to-train(T2T)communication.We proposed an Integrated Sensing and Communication(ISAC)signal based on Orthogonal Time Frequency Space(OTFS)modulation.First,we proposed time domain signal fuzzy function models for both single symbol and multi-symbol OTFS,simulated and compared their distance fuzziness and velocity fuzziness to verify the superiority of the original multi-symbol OTFS signal perception performance.Then,we proposed the combination of Ant Colony Optimization(ACO)algorithm and classical selection mapping(SLM)algorithm,named ACO-SLM algorithm,and designed an OTFS system transmitter structure by using the ACO-SLM algorithm to suppress the peak-average power ratio of the original OTFS signal.The suppression effect was compared horizontally and vertically through simulation experiments.Finally,the OTFS time domain signal fuzziness and transmission bit error rate were simulated after processing by the ACO-SLM algorithm.The research results show that by changing the parameters of the ACO-SLM algorithm for horizontal comparison,with 16QAM constellation modulation as the input sequence,the ACO-SLM algorithm with a phase factor group number of 16 was used to process the OTFS signal,achieving the lowest peak-to-average power ratio of 6.03.Longitudinal comparison shows that the ACO-SLM algorithm has a better inhibition effect on the peak-to-average power ratio than other traditional algorithms.Fuzzy simulation analysis of the multi-symbol OTFS time domain signal processed by the ACO-SLM algorithm shows that its ranging and velocity measurement performance are improved,and the transmission bit error rate is almost not affected compared with the OTFS signal processed by traditional algorithms.The research results provide a theoretical basis for the perception integration of urban rail T2T communication for B5G/6G and train operation control based on T2T communication.
杨骞;苏宏升;刘大为;魏伟
兰州交通大学 自动化与电气工程学院,甘肃 兰州 730070||兰州工业学院 电气工程学院,甘肃 兰州 730050兰州交通大学 自动化与电气工程学院,甘肃 兰州 730070兰州工业学院 电气工程学院,甘肃 兰州 730050兰州交通大学 新能源与动力工程学院,甘肃 兰州 730070
交通运输
通感一体化正交时频空蚁群优化选择映射法峰均功率比
integrated sensing and communicationorthogonal time frequency spaceant colony optimizationselected mappingpeak-to-average power ratio
《铁道科学与工程学报》 2024 (12)
5209-5220,12
甘肃省高校青年博士支持项目(2023QB-049)甘肃省科技计划项目(22JR11RA141)
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