GPS Continues Wave Jamming Canceller using an ANF Combined with an Artificial Neural Network

Abstract

Global Positioning System (GPS) navigation usage has increased in many important areas in recent years. So having better accuracy and efficiency are of particular importance. The signal transmitted by satellites goes a long way to reach receivers on the ground which leads to decrease in signal power. This weak signal can be easily affected by the intentional noise signals (or socalled jamming) that produce on the surface of the earth with high power or even unintentional noises. Therefore, jamming suppuration is one of the most important discussed topics in this field. In this paper, in order to cancel the effect of jamming on the received GPS signal, an Infinite Impulse Response (IIR) Adaptive Notch Filter (ANF) is proposed. As an adaption method in order to calculate the filter coefficient, we use a particular Neural Network (NN). Because of the small size of the NN that we used, the train time is very fast in compare to such traditional methods that take a long time to find optimized coefficients. The anti-jamming performance is evaluated by calculating the Root Mean Square (RMS) of prediction error, and also Satellite View (SV) observation number. The proposed algorithm provides the desired SV observation number, even for more than four vehicles. It also provides a good range of RMS of prediction error.