High-dynamic Wideband Interference Suppression In GNSS Via Reduced-rank STAP

Global Navigation Satellite System(GNSS) can provide high-precision positioning and timing services, and it has been widely used in military and civil fields. However, it is extremely fragile, since the receiver vulnerable to intentional and unintentional radio frequency interferences. Especially in high-dynamic environment, the conventional anti-jamming algorithms are invalid since jammers may easily move out of the array pattern null so that it cannot be suppressed. Space-Time adaptive processing(STAP) has been proved effective to suppress the jammers in satellite navigation system. It can increase the degrees of freedom so remarkably that the anti-jamming capability can be enhanced essentially without increasing the number of antennas. Therefore, it is necessary to research the high-dynamic wideband interference suppression methods via STAP.The high-dynamic interference suppression method based on STAP has been researched,and the main contributions and innovations of this thesis are the followings:First, it is analysed that the distortion induced by STAP via simulation part, and a motion model of the high-dynamic receiver is given in this thesis.Second, in order to reduce the computational complexity of STAP, a new high-dynamic interference suppression method based on reduced-rank STAP is proposed in this thesis,which can reduce the computational complexity and achieve faster convergence speed simultaneously.Third, in order to compensate the distortion induced by STAP, an integrated high-dynamic interference suppression method is proposed in this thesis. The compensation method of STAP and the de-spread and re-spread algorithm are used in the integrated method.So that it can obtain the gain in DOAs of desired signals without any information of signals' DOAs and it can compensate the distortion induced by STAP. Numerical results are provided to demonstrate the performance of the proposed algorithm.