CAJ | 학술논문

针对基于广播式自动相关监视（automatic dependent surveillance-broadcast，ADS-B）数据进行机场三维态势呈现的应用，研究了在态势显示的第一步，ADS-B 数据精度不高、不平滑问题，预处理后数据可以用于后续插值生成高帧率的航迹数据。交互式多模型卡尔曼滤波（interacting multiple model Kalman filter，IMMKF）算法可以较好地解决机场场面运动目标 ADS-B 轨迹数据的实时平滑问题。首先，根据飞机的真实运动情况建立了飞机的匀加速运动、匀速转弯运动及匀速运动模型，然后利用卡尔曼滤波 Singer 模型与 IMM 相结合的 IMMKF 算法对场面飞机的 ADS-B 轨迹进行了跟踪滤波，达到目标轨迹光滑的效果。实验结果表明，与多种经典的滤波方法相比，IMMKF 方法在保证了光滑性的情况下跟踪失败概率低，可实时计算，精度能满足要求。
침대기우엄파식자동상관감시（automatic dependent surveillance-broadcast，ADS-B）수거진행궤장삼유태세정현적응용，연구료재태세현시적제일보，ADS-B 수거정도불고、불평활문제，예처리후수거가이용우후속삽치생성고정솔적항적수거。교호식다모형잡이만려파（interacting multiple model Kalman filter，IMMKF）산법가이교호지해결궤장장면운동목표 ADS-B 궤적수거적실시평활문제。수선，근거비궤적진실운동정황건립료비궤적균가속운동、균속전만운동급균속운동모형，연후이용잡이만려파 Singer 모형여 IMM 상결합적 IMMKF 산법대장면비궤적 ADS-B 궤적진행료근종려파，체도목표궤적광활적효과。실험결과표명，여다충경전적려파방법상비，IMMKF 방법재보증료광활성적정황하근종실패개솔저，가실시계산，정도능만족요구。
In order to realize the 3D situation display of airport based on the automatic dependent surveil-lance-broadcast(ADS-B)data,its smoothing method is developed in the first step of airport 3D display.The ADS-B data must be pretreated because it is unsmooth with low accuracy for 3D display of the moving aircraft on airport surface.After smooth pretreatment,ADS-B data can be interpolated to high-frequency track data which is used for 3D display.So the interacting multiple model Kalman filter(IMMKF)algorithm is used to smooth the track.First,according to the actual movement of aircraft,three motion models with respect to con-stant acceleration,constant turn and constant velocity are constructed separately.Second,the IMMKF algo-rithm which combines IMM and Kalman Singer filter is used to track and smooth ADS-B data.Compared with other several classical filters,the experiment results indicate that this method achieves the lower failure proba-bility of tracking with enough smoothness,realtime calculation and high accuracy.