Least-squares-based adaptive target localization by mobile distance measurement sensors

2014 ◽  
Vol 29 (2) ◽  
pp. 259-271 ◽  
Author(s):  
Barış Fidan ◽  
Ahmet Çamlıca ◽  
Samet Güler
Keyword(s):  
Least Squares ◽  
Distance Measurement ◽  
Target Localization

Target localization based on structured total least squares with hybrid TDOA-AOA measurements

2018 ◽  
Vol 143 ◽  
pp. 211-221 ◽  
Author(s):  
Tianyi Jia ◽  
Haiyan Wang ◽  
Xiaohong Shen ◽  
Zhe Jiang ◽  
Ke He
Keyword(s):  
Least Squares ◽  
Total Least Squares ◽  
Target Localization ◽  
Structured Total Least Squares

Target Localization using Least Squares Estimation for MIMO Radars with Widely Separated Antennas

2013 ◽  
Vol 49 (4) ◽  
pp. 2730-2741 ◽  
Author(s):  
Mojtaba Dianat ◽  
Mohammad Reza Taban ◽  
Javad Dianat ◽  
Vahid Sedighi
Keyword(s):  
Least Squares ◽  
Least Squares Estimation ◽  
Target Localization

Radiate Source Target Localization Techniques Using Airborne ESM Sensor

2014 ◽  
Vol 602-605 ◽  
pp. 1056-1059
Author(s):  
Jun Hua Li ◽  
Hong Wei Quan
Keyword(s):  
Least Squares ◽  
Measurement Data ◽  
Estimation Algorithm ◽  
Least Squares Estimation ◽  
Target Localization ◽  
Estimation Accuracy ◽  
Linear Estimation ◽  
Matlab Simulation ◽  
Target States ◽  
Static Target

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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