Title
Joint Wireless Positioning and Emitter Identification in DVB-T Single Frequency Networks.
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 Cramer-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.
Year
DOI
Venue
2017
10.1109/TBC.2017.2704422
TBC
Keywords
Field
DocType
Digital TV,Digital video broadcasting,Receivers,Wireless communication,Standards,OFDM
Hybrid positioning system,Single-frequency network,Telecommunications,Wireless,Common emitter,DVB-T,Computer science,Electronic engineering,Digital Video Broadcasting,Orthogonal frequency-division multiplexing,Time of arrival
Journal
Volume
Issue
ISSN
63
3
0018-9316
Citations 
PageRank 
References 
1
0.35
9
Authors
4
Name
Order
Citations
PageRank
Liang Chen121.72
Lie-Liang Yang21623163.43
Jun Yan3245.17
Ruizhi Chen440255.33