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| Least Squares Adaptive Algorithm for Bearings-Only Multi-sensor Maneuvering Target Passive Tracking |
| Song Li-ping; Ji Hong-bing; Gao Xin-bo |
| School of Electronic Engineering Xidian Univ., Xi’an 710071 China |
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Abstract To avoid the computational complexity and the precision decrease from the nonlinear feature in passive tracking, the state of the target is approximately estimated by least squares algorithm at first, and then a current statistical model and an adaptive algorithm are employed. The simulation results show that the novel least squares adaptive algorithm is of higher tracking precision than Singer algorithm in tracking the target with constant velocity or acceleration, and that it is able to estimate effectively the velocity and acceleration of the maneuvering target, in which case Singer algorithm does not work.
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Received: 09 October 2003
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2005, Vol. 27 
