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  • Received: May. 29, 2007

    Accepted: --

    Posted: Nov. 14, 2007

    Published Online: Nov. 14, 2007

    The Author Email: Yongqing Qi (qiyongqing@sjtu.edu.cn)

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    Yongqing Qi, Zhongliang Jing, Shiqiang Hu. Modified maximum likelihood registration based on information fusion[J]. Chinese Optics Letters, 2007, 5(11): 639

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Chinese Optics Letters, Vol. 5, Issue 11, 639 (2007)

Modified maximum likelihood registration based on information fusion

Yongqing Qi1,*, Zhongliang Jing1, and Shiqiang Hu1,2

Author Affiliations

  • 1School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200030
  • 2Institute of Aerospace Science and Technology, Shanghai Jiao Tong University, Shanghai 200030

Abstract

The bias estimation of passive sensors is considered based on information fusion in multi-platform multi-sensor tracking system. The unobservable problem of bearing-only tracking in blind spot is analyzed. A modified maximum likelihood method, which uses the redundant information of multi-sensor system to calculate the target position, is investigated to estimate the biases. Monte Carlo simulation results show that the modified method eliminates the effect of unobservable problem in the blind spot and can estimate the biases more rapidly and accurately than maximum likelihood method. It is statistically efficient since the standard deviation of bias estimation errors meets the theoretical lower bounds.

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