An Extremum Approximation ARAIM Algorithm Based on GPS and BDS

Abstract

Advanced receiver autonomous integrity monitoring (ARAIM) is a new technology that can reduce the vertical protection level (VPL) by optimizing the probability of configuration information to improve availability. Compared with traditional receiver autonomous integrity monitoring (RAIM), the powerful vertical guidance capability of ARAIM highlights its advantages. This paper improves ARAIM performance by reducing the difference between the two most important view solutions affecting the VPL and the all-in-view solution while satisfying the accuracy. First, this paper proposes new constellation configurations suitable for GPS/BDS, which is a nontraditional constellation itself; second, this paper proposes a method called EA-ARAIM for improving ARAIM performance. The results show that for the depleted constellation in the case of visible satellite reduction, the coverage can increase from 59.97% to 76.63% with the assistance of EA-ARAIM. Even for the optimistic constellation, where there is not much room to improve availability, the improved algorithm can increase the coverage to approximately 3%. Finally, compared with the simulation data used in most of the literature, this paper uses real data obtained from MGEX for analysis. INDEX TERMS ARAIM, GPS and BDS, new constellation configurations, EA-ARAIM, coverage.

Maritime Multiple Moving Target Detection Using Multiple-BDS-Based Radar: Doppler Phase Compensation and Resolution Improvement

“…(e) (f) Figures [12][13][14][15][16] show the one-dimensional range image Doppler compensation results, one-dimensional range image target peak identification results, range inverse results, and DDM results of three ship targets in simulation 2, which verify that multiple fetched ship targets can be detected with better strength using the MDTC method with noise and sea clutter backgrounds in a 10 s accumulation, and the ship RCS distribution structure can be further acquired by the proposed target peak identification method and range inversion method. In the other situation, since we have estimated the target information, we can acquire rough target distance ranges and reverse them using the range inverse method 2.…”

“…This situation has a large probability of overlapping since the scattering intensity of sea clutter is random. Figures [12][13][14][15][16] show the one-dimensional range image Doppler compensation results, one-dimensional range image target peak identification results, range inverse results, and DDM results of three ship targets in simulation 2, which verify that multiple fetched ship targets can be detected with better strength using the MDTC method with noise and sea clutter backgrounds in a 10 s accumulation, and the ship RCS distribution structure can be further acquired by the proposed target peak identification method and range inversion method.…”

“…Next, one study in the literature [14,15] simulated a delay-Doppler map (DDM) of large-scale targets and verified the effectiveness of large-scale target detection based on short time accumulation signals using the range-Doppler Fourier method. In terms of theoretical construction and system model, reference [16] gives an extremum approximation algorithm for advanced receiver autonomous integrity monitoring, and triple-frequency combining observation models have been studied for precise point positioning [17]. Moreover, real-time, direction-constrained determination methods were proposed for point velocity detection studies [18][19][20].…”

A Dynamic-Data-Driven Method for Improving the Performance of Receiver Autonomous Integrity Monitoring

“…Many researchers [20] have devoted efforts to reducing the missed detection probability and alarm limit of RAIM in order to meet the stringent LPV-250 navigation requirements. Among existing methods, multiconstellation ARAIM with integrity support messages has the potential to be used for LPV-250; however, the availability of single-constellation ARAIM [21] is low, so there is still a need to develop single-constellation RAIM methods that can meet the monitoring requirements for LPV-250 [22], [23]. In reference [24], although we attempted to achieve the critical value of the characteristic slope to reduce the fault detection risk of the LSR algorithm, it was still difficult to use LSR-RAIM for LPV-250 in a single constellation.…”