Title : 
Upper-bounding BIAS errors in satellite navigation
         
        
        
            Author_Institution : 
Adv. Technol. R & D Center, Mitsubishi Electr. Corp. Amagasaki, Amagasaki, Japan
         
        
        
            fDate : 
June 29 2014-July 2 2014
         
        
        
        
            Abstract : 
A satellite navigation system for a safety critical application is required to provide an integrity alert of any malfunction; the probability that a navigation positioning error exceeds a given alert limit without an integrity alert is required to be smaller than a given integrity risk. So far, a little number of applications provide integrity alerts, because signal propagation from a satellite to a receiver depends on diversified phenomena and makes probabilistic upper-bound of possible threats difficult. To widen application fields of satellite navigation, two methods to upper-bound wide classes of bias errors are shown in this paper. The worst bias error in a maximum likelihood estimate caused by an interference signal within a given small power is derived. A novel inequality condition with a clock bias error and magnification coefficients that upper-bounds a horizontal position error is presented. Robustness of the inequality condition is numerically shown based on actual configurations of satellites.
         
        
            Keywords : 
Global Positioning System; maximum likelihood estimation; signal processing; clock bias error; diversified phenomena; horizontal position error; inequality condition; integrity alerts; interference signal; magnification coefficients; maximum likelihood estimation; navigation positioning error; probabilistic upper-bound; safety critical application; satellite navigation system; signal propagation; upper-bounding bias errors; Clocks; Equations; Global Positioning System; Interference; Maximum likelihood estimation; Satellites; Integrity; bias error; maximum likelihood estimate; safety critical application; satellite navigation system;
         
        
        
        
            Conference_Titel : 
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
         
        
            Conference_Location : 
Gold Coast, VIC
         
        
        
            DOI : 
10.1109/SSP.2014.6884677