Passive Location of Angle Sensors Using Extend Square-Root Cubature Kalman Filter

Yang Zhang; Guo Sheng Rui; Jun Miao

doi:10.4028/www.scientific.net/AMM.143-144.577

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 143-144Passive Location of Angle Sensors Using Extend...

Passive Location of Angle Sensors Using Extend Square-Root Cubature Kalman Filter

Abstract:

A new nonlinear filter method Cubature Kalman Filter (CKF) is improved for passive location with moving angle-measured sensors’ measurements.Firstly,it used Empirical Mode Decomposition (EMD) algorithm to estimate measurement noise covariance; And then the covariance of the procession noise and measurement noise is brought into the circle; Meanwhile,CKF is improved by the way of square root to keep its stability and positivity,and the results of track by Extend SCKF are compared with the results by Unscented Kalman Filter (UKF) in the text;By the tracking results to the velocity of the target, Extend SCKF algorithm can not only track the target with unknown measurement noise but also improve the passive position precision remarkably as the same difficulty as UKF.

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Periodical:

Applied Mechanics and Materials (Volumes 143-144)

Pages:

577-581

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.143-144.577

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Online since:

December 2011

Authors:

Yang Zhang, Guo Sheng Rui, Jun Miao

Keywords:

Cubature Kalman Filter, Empirical Mode Decomposition (EMD), Sensor, Square-Root Cubature Kalman Filter, Unscented Kalman Filter (UKF)

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