MTLL Comparison of Unambiguous Tracking Algorithms

Boyi Wang, Jiaolong Wei, Zuping Tang, Tian Li

Abstract: With the development of several Global Navigation Satellite Systems, new signal modulation techniques become one of the research hotpots in GNSS. Of this, Binary Offset Carrier has a good performance in tracking accuracy, spectrum compatibility and multipath-mitigation. With the successful application of BOC in Galileo and GPS, it attracts the interests of academic and engineering researchers. However, the tracking ambiguity problem of BOC processing results in code tracking bias. When considering accurate ranging and positioning, this bias is unacceptable. Several BOC unambiguous acquisition/tracking techniques are investigated to remove this bias threat. With the wide application of BOC unambiguous tracking algorithms, how to evaluate the performance of the algorithms becomes a challenge. Code tracking accuracy is usually adopted to assess the performance of algorithms, but is not able to truly report the performance of BOC processing algorithms. Therefore, this paper presents a different approach by comparing different unambiguous tracking algorithms in terms of mean time to lose lock (MTLL) performance. In this paper, a comprehensive comparison of the existing unambiguous tracking algorithms is presented. First, MTLL assessment model is introduced. Next, typical unambiguous tracking algorithms are reviewed and analyzed briefly. Then, simulation and analysis of MTLL performance are presented. Finally, the results are concluded.
Published in: Proceedings of the 2017 International Technical Meeting of The Institute of Navigation
January 30 - 2, 2017
Hyatt Regency Monterey
Monterey, California
Pages: 1196 - 1205
Cite this article: Wang, Boyi, Wei, Jiaolong, Tang, Zuping, Li, Tian, "MTLL Comparison of Unambiguous Tracking Algorithms," Proceedings of the 2017 International Technical Meeting of The Institute of Navigation, Monterey, California, January 2017, pp. 1196-1205.
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