Single Observer Passive Location Algorithm Based on SVD-UK F
XIA Zhongting
WU Yang
HUANG Suyu
Abstract：This paper presents a new single observer passive location algorithm based on singular value decomposition— Unscented Kalman Filter(SVD‐UKF) .This algorithm gets the source of information for the DOA by observation plat‐forms ,uses SVD total least square batch method to calculate a target point initial position ,applies the initial position in sub‐sequent UKF filter to obtain highly accurate positioning information of the radiation source .Monte Carlo simulations show that the algorithm has high positioning accuracy ,fast convergence and is better able to meet the application requirements of engineering .
Keywords：singular value decompositionunscented Kalman filtersingle observer passive locationtotal least squares method
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 445-448 )