The Positioning And Tracking Simulation Plotform Design Of Low-level Aircraft

Recently decade, Multilateration(MLAT)has been proposed as an advanced technology for low-level and surface surveillance. At present, MLAT already reaches the practical level and its related target tracking and filtering techniques are now becoming focal points and hot spots. This paper research on MLAT’s localization algorithm and related target tracking and filtering technology applied for low-level and surface surveillance and at the same time we testify designed MLAT positioning algorithm and tracking system using real data.First, the paper analyzes the necessity and feasibility of a MLAT system applied for low-level and surface surveillances from overseas and domestic research status, and describes in detail the now usual used localization algorithm and tracking techniques.Next the paper analyzes and simulates the usual used two localization algorithms-Chan and Taylor series whose main simulation content involves the probability density function(pdf) of positioning error and localization precision under the circumstances of different number of stations, meanwhile evaluates the merit and demerit of two localization algorithms in order to select the most suitable localization algorithm for low-level and surface surveillance. Combining the characteristics of low-level and surface surveillance, the paper chooses Chan algorithm as the localization algorithm of research domain and at the same time uses real data to testify the correctness and availability.Meanwhile the paper analyzes the target tracking technology, involving the analysis of three usual target motion models, namely velocity model, Singer model and "current" model. Combining the characteristic of targets on the low-level and surface and simulation, we carry on simulation of three motion models, whose content include the estimated range and velocity precision of tracked target. Simulation results show that in the range of the Non-maneuvering area(apron area),using the velocity model is more reasonable and in the domain of maneuvering area(taxiway runway area), the performances of Singer model is better than that of "current" model. At last, combining the practical motion characteristic of target on low-level and surface, the paper designs a target’s intact motion process(including static state, constant velocity motion and uniformly accelerated motion) so as to simulate and testify the effects. at the end of the paper, according the motion characteristics of target on the low-level and surface, we propose a combination of motion models in order to process the target motion, namely using the velocity model in the range of Non-maneuvering area vs using the Singer model to process the target on the maneuvering area. When target is at the junction of two area, target motion states will be switched. A intact system including localization and tracking algorithm is designed to testify the method above-mentioned and simulation results testify the effectiveness. Meanwhile, we also perform engineering verification testing using real data. The testing results prove that the proposed method can process effectively the motion complexity of target on the low-level and surface and it can improve the tracking precision.The conclusion of this paper is hoped to make reference to design localization and tracking function of a MLAT system applied for low-level and surface surveillance.