A method and system for anti-interference of BeiDou signals based on spatiotemporal state prediction

Abstract

This invention relates to the field of satellite navigation and positioning technology, specifically to a method for anti-interference of BeiDou signals based on spatiotemporal state prediction. In use, this invention extracts spatiotemporal parameters of BeiDou signals, including key information such as the direction and phase difference of direct and multipath signals. Combined with multipath-specific suppression measures and graded attenuation of multipath signal spectral peaks, along with scenario-based correction coefficients to calibrate positioning results, it ultimately achieves high-precision positioning accuracy in urban canyon scenarios. This method can stably support high-precision applications such as autonomous driving and precision mapping. Simultaneously, it constructs a prediction model fused with LSTM and Kalman filtering to output multipath signal prediction results in advance. Combined with a rapid matching function of the interference feature library, it can adapt to dynamic changes in multipath signals, ensuring timely effectiveness of interference suppression measures and preventing signal reception interruptions or sudden increases in positioning deviation.

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