数据采集与处理2025，Vol.40Issue(6)：1412-1423,12.DOI:10.16337/j.1004-9037.2025.06.003
基于OTFS的通感一体化感知目标参数估计新算法
New Target Parameter Estimation Algorithms for Integrated Sensing and Communi-cation Based on OTFS
摘要
Abstract
In the terahertz frequency band,utilizing an orthogonal time frequency space(OTFS)-integrated sensing and communication(ISAC)vehicular networking system with superimposed pilots can achieve high-speed data transmission between vehicles alongside high-precision parameter sensing.First,the OTFS signal modulation model,the communication signal model,and the sensing signal model are established and analyzed.At the receiver,a new sensing channel model containing angle information is derived.Subsequently,a coarse angle estimation algorithm based on the uniform grid multiple signal classification(MUSIC)method and a fine angle estimation algorithm based on the golden section MUSIC method are proposed.Finally,a maximum likelihood estimation criterion-based algorithm is proposed for estimating the integer and fractional parts of the channel delay and Doppler shift parameters.Simulation results demonstrate that the proposed algorithms can achieve accurate estimation of sensing parameters such as angle,distance,and velocity.关键词
正交时频空间/通感一体化/到达角估计/信道估计Key words
orthogonal time frequency space(OTFS)/integrated sensing and communication(ISAC)/direction of arrival(DOA)estimation/channel estimation分类
信息技术与安全科学引用本文复制引用
赵千禧,刘嘉宁,王帝文,田峰..基于OTFS的通感一体化感知目标参数估计新算法[J].数据采集与处理,2025,40(6):1412-1423,12.基金项目
广东省促进经济发展专项资金(粤自然资合[2023]24号). （粤自然资合[2023]24号）
