| Abstract: | High-precision localization in Global Navigation Satellite Systems (GNSS) denied environments is a cutting-edge research topic at present, and localization via signals of opportunity (SOP) is one of important means for solving this problem. Traditionally, the geometric positioning principle like multi-lateration was utilized in SOP localization. However, non-line-of-sight (NLOS) signals are the major influence factors that degrade positioning accuracy. On the other hand, fingerprint-based localization method has been an important way for SOP positioning because this method has the immunity for NLOS and multipath signals. Currently, wireless fidelity and cellular signals are the main research topics for fingerprint localization applications. Digital television (DTV) signal is another important SOP candidate because it has strong power and broad coverage in most areas. It can be received both in outdoor and indoor environments. In this paper, a fingerprint matching algorithm based on Chinese digital terrestrial multimedia broadcast (DTMB) signal is proposed. A new DTV fingerprint developed from the multipath characteristics of multi-band signals is designed and named as the DTV multipath graph (DTV-MG) fingerprint. Special signal processing steps are proposed to enhance the stability of the fingerprint especially for outdoor environments. The weight K nearest neighbor (WKNN) algorithm is utilized for fingerprint matching and localization. Outdoor Experimental results based on real measurements show that the average positioning accuracy of the proposed method can reach nearly 10 meters, much better than that of traditional localization algorithms with DTV signals. |
| Published in: |
Proceedings of the 38th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2025) September 8 - 12, 2025 Hilton Baltimore Inner Harbor Baltimore, Maryland |
| Pages: | 3492 - 3504 |
| Cite this article: | Huang, Yibo, Chen, Xin, "Localization Based on Multipath Features of DTV Signals," Proceedings of the 38th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2025), Baltimore, Maryland, September 2025, pp. 3492-3504. https://doi.org/10.33012/2025.20466 |
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