In this paper by using a Low Noise Amplifier (LNA), a
synchronization and positioning system is designed. Parameters
that cause the system to be far from ideal condition such as
S-Parameters, Noise Figure, IIP3, and Gain are considered that
is one of the advantages of this system. In this stage this process is
a little slow so by adding the neural network to the system the
speed of synchronization is increased. By using the neural
network the time needed to calculate the time difference of
arrival (TDOA) is significantly decreases.
کلید واژگان :
Global Positioning System, Low-noise amplifiers, Neural networks.
