Abstract
The radio interferometric positioning system can measure distance by using the wavelength of the carried radio wave from the relative phase offset of the interference signal. All of these measurements suffer from the phase ambiguity problem and are inevitably corrupted by noise in systems. In this paper, we propose to resolve the given problems by the robust Chinese remainder theorem (CRT). By exploiting the angular circular distance between two vectors, we propose the vector-based robust CRT (Vec-CRT). To further improve estimation performance, we propose the maximum-likelihood-estimation-based robust CRT (MLE-CRT). Compared with the existing range estimation algorithms, both of the proposed algorithms provide better performances. In particular, the robust MLE-CRT achieves the best performance and the least computational complexity among all the competitors. Simulations are presented to verify the effectiveness and robustness of the proposed algorithms.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.