A new pre-processing approach against array uncertainty for GNSS

Adaptive antenna processing has been widely applied to GNSS interference mitigation. Nevertheless, a great variety of uncertainties exist in array signal processing, such as array gain, phase, antenna location and mutual coupling, etc. These uncertainties in array system are what concern designers in optimizing their algorithms. The proposed approach is presented as a solution by appending an adaptive filter and employing a mixed least mean squares (LMS)/ H^infin-optimal algorithm as a pre-processor to the beamformer. The simulation results demonstrate that the algorithm can offer improved capabilities for anti-jamming, isolate dispersed interferences as well as jammers and eliminate system uncertainties.