PN Ranging Based on Noncommensurate Sampling: Zero-Bias Mitigation Methods

Authors

Xiaojun Jin, Zhejiang University
Ning Zhang, University of WaterlooFollow
Kan Yang, University of MemphisFollow
Xuemin Shen, University of Waterloo
Zhaobin Xu, Zhejiang University
Chaojie Zhang, Zhejiang University

Abstract

This paper proposes two methods to mitigate the zero bias of noncommensurate sampling based code-tracking loops to significantly improve the pseudonoise ranging accuracy. For the compensation-based method, a set of algorithms is developed to directly calculate the zero bias which is then removed from the range measurement. For the compensation-free method, a special category of sampling ratios are selected such that the zero bias is self-cancelled. Simulations validate the effectiveness of the proposed methods.

Publication Title

IEEE Transactions on Aerospace and Electronic Systems

Recommended Citation

Jin, X., Zhang, N., Yang, K., Shen, X., Xu, Z., & Zhang, C. (2017). PN Ranging Based on Noncommensurate Sampling: Zero-Bias Mitigation Methods. IEEE Transactions on Aerospace and Electronic Systems, 53 (2), 926-940. https://doi.org/10.1109/TAES.2017.2667236