Vector Tracking Loop-Based GNSS NLOS Detection and Correction: Algorithm Design and Performance Analysis

• Published in: IEEE transactions on instrumentation and measurement Vol. 69; no. 7; pp. 4604 - 4619
• Main Authors: Xu, Bing, Jia, Qiongqiong, Hsu, Li-Ta
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer simulation; Error analysis; Error correction; Field tests; Global navigation satellite system; Global navigation satellite system (GNSS); Mathematical analysis; non-line-of-sight (NLOS) reception; Receivers; Satellites; Signal processing; Signal processing algorithms; software-defined receivers (SDRs); Time lag; Tracking; Tracking loops; Urban areas; urban canyon; vector tracking loops (VTLs)
• ISSN: 0018-9456; 1557-9662; 1557-9662
• DOI: 10.1109/TIM.2019.2950578

This article deals with the non-line-of-sight (NLOS) reception issue in the field of global navigation satellite system (GNSS). The NLOS reception has attracted a significant amount of attention because it is one of the main factors that limit the GNSS position accuracy in urban areas. In this article, we dig into the baseband signal processing level to explore a new solution to the NLOS detection and correction by means of the vector tracking loop (VTL). The NLOS effects on both conventional scalar tracking loops (STLs) and VTL are derived mathematically. Based on this, an NLOS detection algorithm is developed using metrics, such as the equivalent noise bandwidth, the time delay of multicorrelator peaks, as well as code discriminator outputs. Once detected, the NLOS-induced measurement error is corrected before being fed forward into the navigation estimator to improve the position accuracy. Two field tests in urban areas in Hong Kong are conducted to illustrate the effectiveness of the proposed method in real applications. The NLOS correction performance is also assessed using simulated NLOS receptions with controllable time delays and reflection coefficients, which reveals how the proposed algorithm performs in different NLOS scenarios.