Liu, M., Liu, Bo, Chen, Yunfei, Yang, Z., Zhao, N., Liu, P. and Gong, F. (2022) Location parameter estimation of moving aerial target in space-air-ground integrated networks-based IoV. IEEE Internet of Things Journal, 9 (8). pp. 5696-5707. doi:10.1109/JIOT.2021.3071927 ISSN 2327-4662.
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Abstract
Estimating the location parameters of moving target is an important part of intelligent surveillance for Internet of Vehicles (IoV). Satellite has the potential to play a key role in many applications of space-air-ground integrated networks (SAGIN). In this paper, a novel passive location parameter estimator using multiple satellites for moving aerial target is proposed. In this estimator, the direct wave signals in reference channels are first filtered by a band-pass filter, followed by a sequence cancellation algorithm to suppress the direct-path interference and multi-path interference. Then, the fourth-order cyclic cumulant cross ambiguity function (FOCCCAF) of the signals in the reference channels and the four-weighted fractional Fourier transform fourth-order cyclic cumulant cross-ambiguity function (FWFRFT-FOCCCAF) of signals in the surveillance channels are derived. Using them, the time difference of arrival (TDOA) and the frequency difference of arrival (FDOA) are estimated and the distance between the target and the receiver and the velocity of the moving aerial target are estimated by using multiple satellites. Finally, the Cramer-Rao Lower Bounds of the proposed location parameter estimators are derived to benchmark the estimator. Simulation results show that the proposed method can effectively and precisely estimate the location parameters of the moving aerial target.
| Item Type: | Journal Article |
|---|---|
| Subjects: | T Technology > TE Highway engineering. Roads and pavements T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering |
| Library of Congress Subject Headings (LCSH): | Vehicular ad hoc networks (Computer networks) , Embedded Internet devices , Location based services, Wireless localization, Automatic tracking , Internet of things |
| Journal or Publication Title: | IEEE Internet of Things Journal |
| Publisher: | IEEE |
| ISSN: | 2327-4662 |
| Official Date: | 15 April 2022 |
| Dates: | Date Event 15 April 2022 Published 8 April 2021 Available 2 April 2021 Accepted |
| Volume: | 9 |
| Number: | 8 |
| Page Range: | pp. 5696-5707 |
| DOI: | 10.1109/JIOT.2021.3071927 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Re-use Statement: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Access rights to Published version: | Restricted or Subscription Access |
| Date of first compliant deposit: | 19 April 2021 |
| Date of first compliant Open Access: | 20 April 2021 |
| RIOXX Funder/Project Grant: | Project/Grant ID RIOXX Funder Name Funder ID B210104 Fundamental Research Funds for the Central Universities 2019GY-043 Scientific Research Foundation of Shaanxi Provincial Key Laboratory |
| Related URLs: | |
| URI: | https://wrap.warwick.ac.uk/151336/ |
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