Narrowband Jamming Mitigation Based on Multi-Resolution Analysis for Land Vehicles

Autonomous and connected vehicles mainly rely on global navigation satellite systems (GNSS) for positioning and navigation, which is a key component for path planning and guidance. It is therefore crucial to ensure the reliability and robustness of the GNSS signals. Jamming has recently become one of the major concerns for GNSS receivers, especially with the widespread of in-car jammers that broadcast jamming signals. Therefore, future vehicle manufacturers must deploy advanced anti-jamming techniques that have to be extensively tested before being deployed in future self-driving vehicles. This motivates us to develop a robust anti-jamming technique based on wavelet packet transform to efficiently suppress jamming signals and enhance the performance of the acquisition, tracking, and navigation stages within a software-defined receiver. The developed technique is computationally efficient, thus, more suitable for real-time processing. Several experiments for different driving scenarios are performed to verify the effectiveness of the proposed method for mitigating various types of jamming signals. Experiments are conducted on global positioning system (GPS) L1 C/A signals obtained from Spirent system for a fully controlled environment. Moreover, a unique experimental setup was developed to assess the performance of the proposed technique in the presence of a jamming signal from a real jammer.