Direction finding of maximum likelihood algorithm using quantum bee colony for noncircular signals

2010 ◽  
Author(s):  
Hongyuan Gao ◽  
Xuemei Yu ◽  
Jinlong Cao
Keyword(s):  
Maximum Likelihood ◽  
Direction Finding ◽  
Maximum Likelihood Algorithm ◽  
Bee Colony ◽  
Noncircular Signals

scholarly journals DIRECTION FINDING FOR BISTATIC MIMO RADAR USING EM MAXIMUM LIKELIHOOD ALGORITHM

2013 ◽  
Vol 141 ◽  
pp. 99-116 ◽  
Author(s):  
Hao Wen Chen ◽  
Degui Yang ◽  
Hong-Qiang Wang ◽  
Xiang Li ◽  
Zhaowen Zhuang
Keyword(s):  
Maximum Likelihood ◽  
Direction Finding ◽  
Mimo Radar ◽  
Maximum Likelihood Algorithm ◽  
Bistatic Mimo Radar

Study on Optimization of the Number of DF Stations

2014 ◽  
Vol 709 ◽  
pp. 485-490
Author(s):  
Xiang Wu ◽  
Jun Jun Zong ◽  
Xun Xue Cui ◽  
Chuan Xu Liu
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Direction Finding ◽  
Location Error ◽  
Location Accuracy ◽  
Error Models ◽  
Reasonable Number ◽  
Simulation Results

Reasonable number of direction finding station is examined in multi-station bearing-crossing location. Though it is believed that increasing the number of station is helpful to improve the location accuracy, In the paper, the maximum likelihood estimation (MLE) as an example. The algorithms and the location error models are given. The simulation results show that the location accuracy will be improved quickly with the increase of the number of the measuring participants, but the improvement will be sharply slowed down if too many station involved, which also boost the complexity of location.

A Maximum Likelihood Algorithm for Estimating Damped Sinusoids

1990 ◽  
Vol 23 (1) ◽  
pp. 601-605
Author(s):  
D.R. Farrier ◽  
A.R. Prior-Wandesforde
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Algorithm
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