CAJ | 학술논문

全捷联导引头存在制导所需的视线角速度信号不能直接测量的问题,基于无迹施密特卡尔曼滤波器(unscented Schmidt?Kalman filter,USKF)提出了一种全捷联导引头的制导信息提取算法.USKF对增广状态中的参数向量不进行校正,避免了参数观测误差过大对于滤波器性能的影响. 在目标机动及制导律有落角约束要求的条件下,对制导信息提取算法进行了仿真验证. 仿真结果表明, USKF滤波器性能优于传统非线性滤波器EKF及UKF,能够更准确地给出制导律所需信息,为全捷联导引头方案提供了理论基础及工程应用参考.
전첩련도인두존재제도소수적시선각속도신호불능직접측량적문제,기우무적시밀특잡이만려파기(unscented Schmidt?Kalman filter,USKF)제출료일충전첩련도인두적제도신식제취산법.USKF대증엄상태중적삼수향량불진행교정,피면료삼수관측오차과대대우려파기성능적영향. 재목표궤동급제도률유락각약속요구적조건하,대제도신식제취산법진행료방진험증. 방진결과표명, USKF려파기성능우우전통비선성려파기EKF급UKF,능구경준학지급출제도률소수신식,위전첩련도인두방안제공료이론기출급공정응용삼고.
Problem exists in strapdown seekers that the line of sight rate cannot be directly measured, which is used for homing guidance. This paper develops an algorithm for strapdown seeker guidance information filtering based on unscented Schmidt?Kalman filter(USKF). The USKF does not correct the parameters in augmented state vector, thus avoiding performance reduction duo to large estimation error of parameters. We conducted simulations to verify the guidance information filtering algorithm, assuming maneuvering target and guidance law with constrained impact angle. Results and their analysis show preliminarily that USKF performs better than EKF and UKF, both traditional nonlinear filters, and gives more precise guidance information, thus giving engineering reference for strapdown seeker system design.