One‐dimensional traversal receiver autonomous integrity monitoring method based on maximum likelihood estimation for GNSS anti‐spoofing applications

• DOI: 10.1049/iet-rsn.2020.0186
• Publication Date: 2020-11-20T18:12:18Z
• Authors: Jianfeng Li; Hong Li; Mingquan Lu
• Keywords: Spoofing attack

By forging global navigation satellite system (GNSS) signals similar to authentic ones, a spoofer can make receivers track forged (spoofing signals) and generate wrong position, velocity time results. Receiver autonomous integrity monitoring (RAIM) be extended the field of spoofing detection exclusion (SDE). However, it is well known that when there are six or more only one signal among them, RAIM effectively exclude signal. In this study, based on maximum likelihood estimation (MLE) theory idea traverse, one‐dimensional traversal MLE‐RAIM (TMRAIM) proposed, which multiple signals. Theoretically, influence biases will reflected in pseudorange residuals, then affect probability distribution parity vector. Through MLE deduction, authors find corresponding relevant with vector once under supposed number just traversing signals, TMRAIM run real‐time GNSS low complexity. The SDE ability complexity analysed detail two experiments constructed. Experimental results demonstrate method feasible effective for anti‐spoofing applications.