Limited spectral resources and increasing demand for diverse RF applications limit the capabilities of modern RF systems. Recent results in the field of RF Convergence demonstrate that these limitations may be overcome by adopting co-operative and co-design techniques. We designed the Communications and High-Precision Positioning (CHP2) system to provide positioning, navigation, and timing (PNT) and communications services in congested environments with limited spectral access. This system leverages modern two-way ranging (TWR) techniques to provide sub-centimeter ranging precision to flying ad hoc networks (FANETs) in GPS denied environments with only 10 MHz bandwidth. In this study, we extend the CHP2 TWR algorithm to improve robustness against carrier-phase range ambiguities, commonly referred to as 'cycle slips'. We propose a resolution method in conjunction with joint distributed coherence and time-of-flight (ToF) tracking to mitigate these ambiguities, with a structure similar to a time-sensitive Viterbi trellis. The proposed 'trellis trimming' method measures the likelihood of multiple ranging hypotheses and eliminates paths of least likeliness using Bayesian filters. We demonstrate that this method reduces the probability of incorrectly choosing range ambiguities and significantly improves ranging performance in low-SNR regimes where cycle slips are common.

Original languageEnglish (US)
Title of host publication2021 IEEE Aerospace Conference, AERO 2021
PublisherIEEE Computer Society
ISBN (Electronic)9781728174365
StatePublished - Mar 6 2021
Event2021 IEEE Aerospace Conference, AERO 2021 - Big Sky, United States
Duration: Mar 6 2021Mar 13 2021

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X


Conference2021 IEEE Aerospace Conference, AERO 2021
Country/TerritoryUnited States
CityBig Sky

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


Dive into the research topics of 'Communications and High-Precision Positioning (CHP2): Cycle Slip Trellis Trimming Algorithm'. Together they form a unique fingerprint.

Cite this