In the passive scene,the time difference of arrival(TDOA)measurements is mostly non-uni-form in character.In this paper,a filtering method based on cluster centroids is proposed,where the measurements with short time intervals are classified as the same cluster,and the centroids of each cluster are substituted into the filtering model to realize the sequential iterative process.Our method,as opposed to the commonly used filtering methods,could avoid filtering dispersion and improve the prediction accuracy of time difference.Finally,the centroid filtering method is compared with Kalman filtering and the improved algorithm on simulation data to verify its accuracy and effectiveness.
geostationary orbit satellitepassive locationtime difference of arrivalKalman filter
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