| Citation: | SUN Wenjie, WANG Zhaorui, JIN Shengzhen, et al. An adaptive carrier-to-noise ratio estimation method for GNSS weak signal[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(10): 2068-2074. doi: 10.13700/j.bh.1001-5965.2020.0372(in Chinese)
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The Carrier-to-Noise Ratio (CNR) of Global Navigation Satellite System (GNSS) signals is an important parameter to describe GNSS receiver's performance. In this paper, we derive and analyze two commonly used GNSS signal CNR estimation methods: Variance Summing Method (VSM) and Power Ratio Method (PRM). Meanwhile, we propose an adaptive CNR estimation method which is based on fading factor cubature Kalman filter. We compare the three methods to assess the CNR estimation ability in normal and weak signal environment. The results show that, when signal suddenly changes or signal is weak, the VSM and PRM will produce large estimation errors, while the adaptive CNR estimation methods can still accurately estimate the CNR of signal.
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