Abstract:

The space time adaptive processing algorithms are able to enhance the performance of global positioning system （GPS） receiver interference suppression. The satellites signals can be protected by imposing the constraints on the STAP algorithm. Traditional constraints on a single star generates maximum signal-to-noise ratio of each satellite, however, the computation burden is too heavy for the real-time performance. Although the constraints on multiple satellites can ensure optimal output performance of all satellites, the optimal performance of a single satellite cannot be guaranteed. In this paper, by reasonably simplifying adaptive processing algorithm, a novel constrained parallel single star constraints algorithm is proposed to achieve much less computation burden. In contrast with the traditional algorithms of constraints on multiple satellites, the proposed algorithm yields optimal signal-to-noise ratio performance of all satellites. The simulation results show that the new algorithm can not only suppress interfering signals, but also protect the satellite signals more effectively.