Estimation of LOS Rates for Target Tracking Problems using EKF and UKFAlgorithms- A Comparative Study
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 28، شماره: 2
سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 499
فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJE-28-2_002
تاریخ نمایه سازی: 13 مرداد 1394
چکیده مقاله:
One of the most important problems in target tracking is Line of Sight (LOS) rate estimation for usingfrom PN (proportional navigation) guidance law. This paper deals with estimation of position and LOSrates of target with respect to the pursuer from available noisy RF seeker and tracker measurements.Due to importance of exact estimation on tracking problems most target position and LOS rates havebeen estimated with least error rather than actual values. In this paper, extended Kalman filter (EKF)and unscented Kalman filter (UKF) algorithms are used for estimation of target position in threedimensional(3-D) and LOS rates in elevation and azimuth for seekers and trackers. For comparison ofalgorithms, model of the system was simulated using MATLAB and many tests were carried out.Simulation experiments showed that the efficiency of EKF due to least RMSE had better performance.However, the performance of EKF algorithm dramatically decreased when initializations (initial stateassumption) were not near to real values, which in this condition UKF method provided a moreaccurate approximation. Numerical results from simulations show that the UKF is robust againstuncertainties and has better state estimation accuracy. Therefore, UKF algorithm is appropriate, and itcan run on target tracking systems
کلیدواژه ها:
EstimationGimbal SeekerLine Of Sight RateOptimal FilteringExtended Kalman FilterUnscented Kalman Filter