A Review on GNSS-Threat Detection and Mitigation Techniques

Abstract

Global navigation satellite systems (GNSS) have played an important role in commercial, military and industrial navigation as well as cloud computing, geospatial analysis and digital modeling. Nowadays, with the advancement of science and technology, the capabilities of electronic warfare, including signal jamming, interference, and spoofing, have also advanced. Attacks and threats at simple, intermediate and advanced levels, endanger the security and reliability of GNSS in the commercial, industrial and military fields such as geolocation, geospatial techniques and digital twins. Therefore, coping with this problem and challenge is very important in maintaining security and reliability. At present, various methods and algorithms have been designed and utilized based on statistical properties, moving receiver, artificial array, wavelet transform and etc., each of which has advantages, disadvantages and blind spots. In this paper, the necessity and requirements for dealing with GNSS threats are emphasized, and the most important researches in the field of GNSS threat (jamming/interference/spoofing) detection and mitigation are studied and reviewed. Their advantages and disadvantages are discussed, and improving areas are also proposed.

Co-Operatively Increasing Smoothing and Mapping Based on Switching Function

“…In particular, we are more focused on satellite denial scenarios, as GNSS signals may encounter issues with fading, multipath effects, interference, and spoofing, so GNSS is not reliable [4]. In addition, the electromagnetic environment in GNSS-denied scenarios is often complex and noisy [5]. Therefore, we design the algorithm in this paper to reduce the error and accuracy divergence of relative positioning in the environments mentioned above and improve the robustness of the system without increasing the amount of computation.…”