Fuzzy logic-based simulation of a weighted integrated GNSS receiver for mitigating blocking interference effects

The aim of this paper is to enhance the accuracy and speed of receivers in integrated Global Navigation Satellite System (GNSS) systems, ensuring the ability to maintain precise and high-quality positioning even in blocking conditions. To this end, a novel approach is proposed to improve the performance of receivers in integrated GNSS systems, which includes two-stage acquisition, fuzzy logic, and a weighting mechanism based on the Weighted Least Squares (WLS) algorithm. In this method, a two-stage acquisition process is initially employed to achieve rapid and accurate acquisition. Then, the number of visible satellites, the Carrier-to-Noise Ratio (CNR) extracted during the tracking phase, and the Dilution of Precision (DOP) are used as inputs to the fuzzy logic membership function. Through fuzzy rules, the WLS weighting coefficients are optimally determined. Experimental results indicate that the WLS method with fuzzy logic coefficients significantly enhances system performance. Specifically, an average improvement of 36.50% in Root Mean Square (RMS) error and a 31.10% reduction in Geometric Dilution of Precision (GDOP) have been observed compared to the Least Squares (LS) method.