Efficient GNSS Jamming Mitigation Using the Marcenko Pastur Law and Karhunen–Loeve Decomposition
Omid Sharifi‐Tehrani, Mohamad Farzan Sabahi, M. R. Danaee
Abstract
The efficiency of using Karhunen–Loeve (KL) decomposition for retrieving global navigation satellite system (GNSS) signals from interference has been proven in the literature. The main drawback is its high computational cost. To get the potential benefit of its capability alongside reduction in computational demand, we consider an inverse strategy. Our proposed method applies the Marcenko–Pastur law to the sample covariance matrix of the received signal to systematically distinguish the jamming-related eigenvalues. Then, the KL coefficients of jamming signal are estimated and a synthetic replica of jamming signal is built and subtracted from the received signal. Simulation results indicate that our proposed method significantly outperforms other existing methods in terms of how it handles jamming signals in GNSS receivers. The impact of the jamming power on the performance of the proposed algorithm is also studied analytically.