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ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Modified Iterated Square-root Cubature Kalman Filter for Non-cooperative Space Target Tracking

( Volume 2 Issue 11,November 2015 ) OPEN ACCESS

Chaochen Wang, Panlong Wu, Yuhao Deng


Passive tracking techniques for non-cooperative space target have great significance in space surveillance systems. In this paper, we proposed a new filtering algorithm for passive tracking problem called iterated square-root cubature Kalman filter (ISCKF). By introducing a Newton-Gauss iterative method into the square-root cubature Kalman filter (SCKF), the proposed filtering algorithm has a better filtering performance in accuracy and stability. The simulation results demonstrate that the ISCKF outperforms the conventional filters when using bearings-only measurements.

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