The Kalman Positioning Algorithm Based on TDOA/AOA

Zhong Liang Deng; Xiao Guan Wang

doi:10.4028/www.scientific.net/AMR.739.602

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 739The Kalman Positioning Algorithm Based on TDOA/AOA

The Kalman Positioning Algorithm Based on TDOA/AOA

Abstract:

TDOA is a common used positioning method. Its advantage is to overcome the disadvantage that positioning time reference is strictly required in TOA method, and the measurement method is relatively simple. AOA needs only two base stations to realise positioning in theory, but the positioning accuracy is lower. TDOA/AOA hybrid positioning algorithm can certainly overcome this limitation to realize high precision positioning. Kalman filter is an optimum regression data processing algorithm. It is applicated widely in various optimal filtering and optimal control problems. For most of the problems, it is optimal, the most efficient and even the most useful. In this article Kalman filter algorithm is utilized to estimate the value of TDOA and AOA, which is used for position calculating to improve the accuracy of positioning.

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Periodical:

Advanced Materials Research (Volume 739)

Pages:

602-607

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.739.602

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Online since:

August 2013

Authors:

Zhong Liang Deng, Xiao Guan Wang

Keywords:

AOA, Kalman Filter (KF), Positioning, TDOA

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References

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