转换测量卡尔曼滤波算法在导弹起爆控制技术中的应用研究
Application Research of Converted Measuring Kalman Filter Used in Burst Control Technology of Missile
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摘要: 利用导引头测量信息构建最佳起爆控制算法以实现最佳起爆是导弹战斗部起爆控制技术的一个重要方向.最佳起爆算法包括剩余飞行时间、脱靶量及脱靶方位的估计.为提高估计精度和满足实际应用要求,对导引头测量信息进行滤波至关重要.该文研究了转换测量卡尔曼滤波算法在起爆控制参数估计中的应用,该算法将球坐标系中导弹导引头的测量信息转换到直角坐标系下进行滤波,同时消除了由于坐标转换而引起的偏差.仿真结果表明,该算法的应用有效地提高了起爆控制参数的估计精度.Abstract: People can use measuring information provided by guider to establish optimal burst control algorithm in order to realize optimal burst. It is an important direction of burst control technology of missile. The optimal burst algorithm includes the estimation of time-to-go, miss distance and miss angle. In order to improve estimation accuracy and satisfy application request, it is important to filter measuring information provided by guider. The paper studied the application of converted measuring Kalman filter in parameters estimation of burst control. The algorithm filtered the information which was converted from polar coordinates to rectangle coordinates. At the same time, it eliminated the divergence caused by coordinate transform. Simulation results indicate that the application of this algorithm improved the estimation accuracy of burst control.
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庄志洪等.防空导弹引爆技术探讨.引信年会,昆明,2001.8:177-185.[2]Lioyd Richard M. Conventional Warhead Systems Physics and Engineering Design. AIAA, Inc. 1998:417-466.[3]Zhuang Zhihong, Tu Jianping, Wang Hongbo. Prediction of Time-to-go During Missile-Target Encounter. 宇航学报, 2002,23(5): 32-37.[4]周宏仁等.机动目标跟踪.北京:国防工业出版社,1991,第七章.[5]刘丹等.基于去偏转换测量卡尔曼滤波建立状态初始估计的方法.雷达与对抗,2000,4:352-356.[6]Don Lerro, Yaakov Bar-Shalom. Tracking with debiased consistent converted measurements versus EKF. IEEE Trans. on AES, 1993: 1015-1022. -
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