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Joint wireless positioning and emitter identification in DVB-T single frequency networks

Joint wireless positioning and emitter identification in DVB-T single frequency networks
Joint wireless positioning and emitter identification in DVB-T single frequency networks
Digital television (DTV) signal has been recognized as a promising signal for navigation and positioning. However, due to the single frequency network (SFN) transmission within the European standard digital video broadcasting terrestrial (DVB-T) system, emitter confusion problem occurs in navigation and positioning, resulting in that a receiver is unable to know from which emitter a received signal comes. In this paper, we consider the wireless positioning with emitter confusion problem in DVB-T SFN networks. A joint wireless positioning and emitter identification algorithm is proposed, which is based on the expectation maximization (EM) method. The proposed algorithm is tested in a scenario, where signals are received from three to five emitters. Simulation results show that, relying on more than three emitters used in the tests for 2-D positioning, the EM-assisted positioning algorithm is feasible to achieve accurate positioning results in the existence of the emitter confusion problem. Our studies show that the performance achieved by the proposed algorithm approaches the Cramér-Rao bound. Furthermore, the proposed algorithm is effective to identify the DTV emitters, and the positioning performance is robust to the emitter identification error. Additionally, our methodology is general, and can be employed for time of arrival-based positioning in any SFNs.
577-582
Chen, Liang
15459db0-4299-44b7-beaf-fb646add66ac
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Yan, Jun
4f8922bf-3c9a-4743-8830-137edc65016b
Chen, Ruizhi
1d27b684-9ef2-43a3-96a0-489e41200e9e
Chen, Liang
15459db0-4299-44b7-beaf-fb646add66ac
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Yan, Jun
4f8922bf-3c9a-4743-8830-137edc65016b
Chen, Ruizhi
1d27b684-9ef2-43a3-96a0-489e41200e9e

Chen, Liang, Yang, Lieliang, Yan, Jun and Chen, Ruizhi (2017) Joint wireless positioning and emitter identification in DVB-T single frequency networks. IEEE Transactions on Broadcasting, 63 (3), 577-582. (doi:10.1109/TBC.2017.2704422).

Record type: Article

Abstract

Digital television (DTV) signal has been recognized as a promising signal for navigation and positioning. However, due to the single frequency network (SFN) transmission within the European standard digital video broadcasting terrestrial (DVB-T) system, emitter confusion problem occurs in navigation and positioning, resulting in that a receiver is unable to know from which emitter a received signal comes. In this paper, we consider the wireless positioning with emitter confusion problem in DVB-T SFN networks. A joint wireless positioning and emitter identification algorithm is proposed, which is based on the expectation maximization (EM) method. The proposed algorithm is tested in a scenario, where signals are received from three to five emitters. Simulation results show that, relying on more than three emitters used in the tests for 2-D positioning, the EM-assisted positioning algorithm is feasible to achieve accurate positioning results in the existence of the emitter confusion problem. Our studies show that the performance achieved by the proposed algorithm approaches the Cramér-Rao bound. Furthermore, the proposed algorithm is effective to identify the DTV emitters, and the positioning performance is robust to the emitter identification error. Additionally, our methodology is general, and can be employed for time of arrival-based positioning in any SFNs.

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Accepted/In Press date: 2 April 2017
e-pub ahead of print date: 5 June 2017
Published date: September 2017

Identifiers

Local EPrints ID: 415672
URI: http://eprints.soton.ac.uk/id/eprint/415672
PURE UUID: 1e8e52c0-f19f-4e3c-98ad-f9fee8ef2043
ORCID for Lieliang Yang: ORCID iD orcid.org/0000-0002-2032-9327

Catalogue record

Date deposited: 17 Nov 2017 17:30
Last modified: 17 Dec 2019 01:55

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Contributors

Author: Liang Chen
Author: Lieliang Yang ORCID iD
Author: Jun Yan
Author: Ruizhi Chen

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