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利用位置测量的单点和两点差分跟踪起始算法的比较研究

MALLICK Mahendra LA SCALA Barbara

MALLICK Mahendra, LA SCALA Barbara. 利用位置测量的单点和两点差分跟踪起始算法的比较研究. 自动化学报, 2008, 34(3): 258-265. doi: 10.3724/SP.J.1004.2008.00258
引用本文: MALLICK Mahendra, LA SCALA Barbara. 利用位置测量的单点和两点差分跟踪起始算法的比较研究. 自动化学报, 2008, 34(3): 258-265. doi: 10.3724/SP.J.1004.2008.00258
MALLICK Mahendra, LA SCALA Barbara. Comparison of Single-point and Two-point Difference Track Initiation Algorithms Using Position Measurements. ACTA AUTOMATICA SINICA, 2008, 34(3): 258-265. doi: 10.3724/SP.J.1004.2008.00258
Citation: MALLICK Mahendra, LA SCALA Barbara. Comparison of Single-point and Two-point Difference Track Initiation Algorithms Using Position Measurements. ACTA AUTOMATICA SINICA, 2008, 34(3): 258-265. doi: 10.3724/SP.J.1004.2008.00258

利用位置测量的单点和两点差分跟踪起始算法的比较研究

doi: 10.3724/SP.J.1004.2008.00258
详细信息
    通讯作者:

    MALLICK Mahendra

Comparison of Single-point and Two-point Difference Track Initiation Algorithms Using Position Measurements

More Information
    Corresponding author: MALLICK Mahendra
  • 摘要: We consider the problem of initializing the tracking filter of a target moving with nearly constant velocity when position-only (1D, 2D, or 3D) measurements are available. It is known that the Kalman filter is optimal for such a problem, provided it is correctly initialized. We compare a single-point and the well-known two-point difference track initialization algorithms. We analytically show that if the process noise approaches zero and the maximum speed of a target used to initialize the velocity variance approaches infinity, then the single-point algorithm reduces to the two-point difference algorithm. We present numerical results that show that the single-point algorithm performs consistently better than the two-point difference algorithm in the mean square error sense. We also present analytical results that support the conjecture that this is true in general.
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出版历程
  • 收稿日期:  2007-09-13
  • 修回日期:  2008-01-14
  • 刊出日期:  2008-03-20

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