07 - Systems, Subsystems and Equipment
INTEGRITY MONITORING OF TIGHTLY INTEGRATED BDS/SINS USING MULTI-HYPOTHESIS SOLUTION SEPARATION (MHSS) ALGORITHM
S. Sun¹, H. Wang¹, R. Liu¹, S. Kuang¹, W. Chen¹; ¹Civil Aviation University of China, China
Tightly integrated BDS/SINS (BeiDou Navigation Satellite System/Strap-down Inertial Navigation System) navigation system provides higher accuracy performance with the continuously calibration of IMU sensors’ errors using satellite measurements and better continuity performance profited from SINS aiding under poor satellites coverage, which is appreciated in aircraft performance based navigation (PBN) operation. But tightly integration also means that the system can propagate the established position even if the satellite signals are lost or unexpected satellite failure occurs, which will cause integrity risk because of the mis-calibration due to the undetected failure. This paper explores the MHSS (multi-hypothesis solution separation) algorithm in tightly integrated BDS/SINS system for integrity monitoring, multiple Kalman filters provide a non-transient detection capability to enhance its integrity monitoring function based on inertial redundancy information retained from previously processed measurements. BDS satellites information from BDS ground station and simulated aircraft flight trajectory are used to verify the integrity monitoring algorithm by intentionally added errors to the satellites pseudo-range. Monte Carlo simulation techniques is introduced to verify its FDE (fault detection and exclusion) performance, calculated horizontal protection level (HPL) is compared with system horizontal error. The simulation results show that the BDS/SINS tightly integrated navigation system based on multi-hypothesis solution separation algorithm can detect and identify the faulted satellite effectively, and the calculated horizontal protection level (HPL) is in line with expectations.