Vehicles Location Estimation and Prediction in Integrated Sensing and Communications: Sensing Vehicles as Extended Targets

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外文摘要：In the implementation of vehicular networks， obtaining the location information of the vehicles is a very important step。 This allows effective control of the beam emission direction， resulting in more accurate， efficient and economical communication。 In this paper， we consider the integrated sensing and communication (ISAC) technology in downlink communication from roadside unit (RSU) to vehicles。 Since the time delay and Doppler parameters are needed in this process， we choose orthogonal time frequency space (OTFS) modulation to assist ISAC communication。 This allows the physical parameters to be extracted directly through the delayed Doppler domain channel。 Unlike other vehicles sensing schemes， we do not model the vehicle as a point target， but as an extended target with multiple scatterers。 After obtaining the vehicle sensing parameters， the RSU can formulate the narrow beam according to the predicted parameters for effective communication。 Finally， we show the estimated accuracy and performance gain compared with the baseline method that treats the vehicle as a point-like target。

外文关键词：

Integrated sensing and communicationsDownlink communicationLocation estimationOrthogonal time frequency spaceVehicular networks

作者：

Guanyu Zhang、Zhilei Ling、Songlin Sun

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作者单位：

Beijing University of Posts and Telecommunications, Beijing 100876, China

会议名称：

International Conference on Signal and Information Processing, Networking and Computers

会议地点：

Xi'Ning(CN)

会议母体文献：

Signal and Information Processing, Networking and Computers

页码：

371-379

出版时间：

2022

DOI：

10.1007/978-981-19-9968-0_45