A Robust and Efficient Least Squares Estimation Algorithm

1985 ◽  
Vol 18 (5) ◽  
pp. 861-866
Author(s):  
M.H. Verhaegen ◽  
J. Vandewalle ◽  
F. Bril ◽  
M. Cumps
2014 ◽  
Vol 602-605 ◽  
pp. 1056-1059
Author(s):  
Jun Hua Li ◽  
Hong Wei Quan

This paper investigated the radiate source target localization techniques using airborne ESM sensor. Two algorithms are represented for different application environments. Pseudo linear estimation algorithm is used for estimating static target states with bearings-only measurements. The measurement data are bearings which are affected by random Gaussian observation noises. Iterated least squares estimation algorithm used iterative techniques to enhance the estimation accuracy. It is a kind of estimation algorithm based on the least squares estimation. Finally two scenarios are represented in Matlab simulation environments to validate the effectiveness of the algorithms.


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