Target Tracking Algorithm Of Chariot Active Protection System

The armored vehicles will play an indispensable role in the modern regional war. Many military powerful countries have started the works on active protection systems for armored vehicle so that the survivability of armored vehicles will be improved on the battlefield. Target tracking technology is essential to active protection system researches. Therefore, it is very useful in theory and application to study short-range or ultra-short-range target tracking algorithms and techniques thoroughly in developing the active protection systems of armored vehicles.In order to track the coming targets accurately, this paper focuses on short-range target tracking with the radial velocity measurements and corresponding filter algorithms. Through systematic analysis and research, some filter algorithms are improved and some typical target tracking algorithms are analyzed with numerical simulations. Main results and improvements are listed in the following.Firstly, radial velocity measurements are introduced for designing the EKF, UKF, DCMKF filter so that they meet the performance indices such as high precision and quick response for target tracking of active protection system. The simulation results show that the tracking performance can be improved significantly by using the designed algorithm properly.Secondly, improved EKF algorithm with radial velocity is proposed by extending the results in two-dimensional case to that of three-dimension, namely alternative extended Kalman filter(AEKF). Based on CV and the Singer model for short-range or ultra-short-range target, the difference between this algorithm and others results on tracking performance and calculation speed are analyzed. It is verified that this algorithm more feasible than other methods.Finally, based on engineering and application background, this paper analyses the effect of the parameter changes of the correlation coefficient, the sampling frequency and measurement error variance to the tracking performance of the improved algorithms with simulation methods. This algorithm is also verified and analyzed by examples from practical project, which may be useful to theory and engineering application.