EURASIP Journal on Advances in Signal Processing

Table 3 Comparative analysis of \(\hat{P}({\text {FA}})\) and \(\hat{\text {IR}}\) between Bayesian RAIM and our approach on real-world data

From: Reliable urban vehicle localization under faulty satellite navigation signals

	\(\hat{P}({\text {FA}})\)	\(\hat{\text {IR}}\)
Bayesian RAIM	0.07	0.80
Our approach	0.06	0.58

Our method maintains lower integrity risk without compromising on the rate of false alarms, highlighting its potential for reliable integrity monitoring in urban environments

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