A new algorithm model is proposed to increase the detecting capability of infrared panoramic searching system . Because the infrared searching system is a system of passive distance measurement to measure the distance of non-target

multi-station method has been applied in the target searching and tracking. In the new algorithm model

the effects of the distance of object

measurement errors of azimuth and elevation and measurement errors of longitude and latitude of receivers on the detection precision of target location are analyzed. 3D coordinate and distance of the target are obtained by matrix analytical method. The location errors of target in four different methods including of three observation station method

square station method

rhombic station method and five station method are analyzed and compared using the Geometrical Dilution of Precision (GDOP) graphs. The results show that the location errors of square station is least among the four different models. The GDOP distributing rule of five station is similar to the square’s

while the value of errors of five station is higher than the square’s. Among the above four distribution methods

the location errors of three station method is maximum. The errors distribution of the rhombic station is different with that of the square station method

and the errors of location is worse than the square station’s.