Achieving Robust and Adaptive Antijamming for GNSS Receivers Based on CPCLMS

The adaptive filtering algorithm effectively solves the jamming problem of global navigation satellite system (GNSS) receivers. However, existing methods that apply adaptive filtering algorithm cannot maintain effective antijamming performance for GNSS receivers in complex electromagnetic environments, as the highly dynamic jamming severely affects the convergence of the algorithm. To address this problem, we propose a robust adaptive antijamming algorithm based on constant power input to improve the algorithm's robustness in high dynamic jamming environments. Furthermore, we design an automatic gain control algorithm to achieve offset stability and optimize robustness and sensitivity with minimal antijamming loss. The experimental results indicate that the number of visible satellites and the positioning availability of CPCLMS, post anti-interference, are significantly higher than those of the LMS algorithm and slightly higher than those of the NVLMS algorithm. Additionally, the computational complexity of this method is significantly lower than that of the NVLMS anti jamming algorithm, highlighting its advantages.