Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10347,
  title    = {The Performance Improvement of the Target Position Determining System in Laser Tracking Based on 4Q Detector using Neural Network},
  author    = {A. Salmanpour and  Sh. Mohammad Nejad},
  country   = {},
  institution={},
  abstract  = {One of the methods for detecting the target position
error in the laser tracking systems is using Four Quadrant (4Q)
detectors. If the coordinates of the target center is yielded through the
usual relations of the detector outputs, the results will be nonlinear,
dependent on the shape, target size and its position on the detector
screen. In this paper we have designed an algorithm with using
neural network that coordinates of the target center in laser tracking
systems is calculated by using detector outputs obtained from visual
modeling. With this method, the results except from the part related
to the detector intrinsic limitation, are linear and dependent from the
shape and target size.},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {5},
  number    = {8},
  year      = {2011},
  pages     = {971 - 974},
  ee        = {http://waset.org/publications/10347},
  url       = {http://waset.org/Publications?p=56},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 56, 2011},
}