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
- 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
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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