Least Squares Adaptive Algorithm for Bearings-Only Multi-sensor Maneuvering Target Passive Tracking

Song Li-ping; Ji Hong-bing; Gao Xin-bo

Volume 27 Issue 5

May 2005

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Article Navigation > Journal of Electronics & Information Technology > 2005 > 27(5): 793-796

Song Li-ping, Ji Hong-bing, Gao Xin-bo. Least Squares Adaptive Algorithm for Bearings-Only Multi-sensor Maneuvering Target Passive Tracking[J]. Journal of Electronics & Information Technology, 2005, 27(5): 793-796.

Citation:

Song Li-ping, Ji Hong-bing, Gao Xin-bo. Least Squares Adaptive Algorithm for Bearings-Only Multi-sensor Maneuvering Target Passive Tracking[J]. Journal of Electronics & Information Technology, 2005, 27(5): 793-796.

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Least Squares Adaptive Algorithm for Bearings-Only Multi-sensor Maneuvering Target Passive Tracking

Received Date: 2003-10-09
Rev Recd Date: 2004-08-26
Publish Date: 2005-05-19

Abstract

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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References(1)

References

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