CAJ | 학술논문

　　在非线性、非高斯噪声下对机动目标跟踪时，传统的卡尔曼滤波算法及其扩展型算法会使测量系统出现滤波精度下降、易发散等缺点。为了更好地解决系统非线性的问题，提高对机动目标的跟踪测量精度，本文提出了一种光电目标跟踪的改进型扩展卡尔曼滤波算法。该算法增加了相应的线性化误差补偿。仿真结果表明，改进型的扩展卡尔曼滤波算法可以有效补偿线性化误差，并且改进后的滤波性能要好于原滤波器。
　　재비선성、비고사조성하대궤동목표근종시，전통적잡이만려파산법급기확전형산법회사측량계통출현려파정도하강、역발산등결점。위료경호지해결계통비선성적문제，제고대궤동목표적근종측량정도，본문제출료일충광전목표근종적개진형확전잡이만려파산법。해산법증가료상응적선성화오차보상。방진결과표명，개진형적확전잡이만려파산법가이유효보상선성화오차，병차개진후적려파성능요호우원려파기。
When the maneuvering targets were tracked in nonlinear, non-Gaussian, the traditional algorithms of Calman filter and extended Kalman filter lead to the phenomenon of filter accuracy declines and divergence. In order to solve the nonlinear problems, improved the maneuvering target tracking accuracy, this paper presented a kind of opto-electric tar-get tracking with improved extended Calman filtering algorithm. The algorithm added the corresponding linear error com-pensation. The simulation results showed that, improved extended Calman filtering algorithm could effectively compensate the linearization error, and the performance of improved filtering was better than the original one.