Study on the automatic intelligent tracking algorithms in weak signal

In order to improve the measurement precision of the position tracking system when the test signal is weaker, put forward a kind of improved gain intelligent adjustment control algorithm(GIACA), learning the change rate of the signal strength automatically, forecasting the signals change value in the next time, adjusted the signal gain for the next signal sample according to this algorithm, to make the input signal to achieve maximum, so as to improve the resolution of the input test signal. and also when the input signal is powerful, the GIACA algorithm will make the gain smaller, so the input signal will be no more than the maximum input range. To achieve the quick tracking location to the goal, define a fast tracking location interval for the sensor, when signals change in this linear interval of the sensor, the relation between the moving target and the output signal of the sensor is linear, so the moving target can be located by one step. Experiments show that when the signal is weaker, this algorithm can make the control accuracy within 0.022mm. © 2012 IEEE.