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卡尔曼滤波在激光跟踪测量系统中的应用 被引量:8

Application of Kalman filter in laser tracking measurement system
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摘要 激光跟踪测量系统对于测量运动目标空间位置是行之有效的,但在测量过程中,各种干扰噪声的影响会降低测量精度。采用卡尔曼滤波来减小噪声的影响以提高测量精度。介绍了激光跟踪测量系统,建立了状态方程和测量方程,给出了卡尔曼滤波算法,仿真结果表明,运用卡尔曼滤波大大提高了测量系统的精度。 Flexible coordinate measuring based on laser tracking measurement system (LTS) is good to detect 3D coordinate of moving target, however the system suffers from various interferences resulting in lower accuracy. The application of Kalman filtering algorithm is extend in the LTS to solve the problem. The laser tracking system is introduced. The state model of the laser tracking measurement system is developed, and the linearization method of the model is analyzed. A Kalman filtering algorithm is adopted to the system. The result of the simulation shows that Kalman filter works well for the improvement of the accuracy of LTS.
出处 《光学技术》 EI CAS CSCD 2004年第1期98-100,共3页 Optical Technique
关键词 卡尔曼滤波 激光跟踪测量系统 坐标测量 噪声 测量精度 随机误差 Kalman filter laser tracking measurement coordinate measurement
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参考文献3

  • 1Chang C B, Tabaczynski J A. Application of state estimation to target tracking[J ]. IEEE Transactions on Automatic Control, 1984, AC-29(2) : 98-109.
  • 2Baheti R S. Efficient approximation of KaIman filter for target tracking[J ]. IEEE Transactons on Aerospace and Electronic Systems, 1986, AE,S-22(1): 8-14.
  • 3Ramachandra K V, Srinivasan V S. Steady state results for the x, y, z Kalman tracking filter[J]. IEEE Transactions on Aerospace and Electronic Systems, 1977, AES-13(4): 419-423.

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