CALIBRATION OF A SIX-PORT RECEIVER FOR DIRECTION FINDING USING THE ARTIFICIAL NEURAL NETWORK TECHNIQUE

Abstract

Because of the asymmetry of six-port junctions and the nonlinearity of diode detectors, the calibration of direction flnding receivers have to be carefully considered. It is generally believed that an e-cient tool for numerical approximations, the artiflcial neural network (ANN), may be used for such calibrations. In this paper, a new calibration technique based on the ANN is proposed for direction flnding receivers at a bandwidth of 1GHz. The direction flnding system adopts a zero-intermediate frequency receiver architecture, which ofiers the advantage of fast response times. The key modules of this receiver consist of two six-port networks used to measure phase difierences and operating frequencies. The results indicate that the calibration technique achieves a high accuracy of 0.192 - .