Abstract: ‍ ‍Compared with the single antenna GNSS receiver， the array GNSS receiver has spatial resolution capabilities. When interference and satellite signals overlap in time and frequency domains， the interference signals in the spatial domain can be suppressed， thus demonstrating stronger interference suppression capabilities. However， array GNSS receivers require a larger number of antennas than single antenna GNSS receivers， and as the number of elements increases， the system cost also increases， limiting the application range of array GNSS receivers. By contrast， dual antenna GNSS receivers have both spatial interference resistance capabilities and the advantage of being cost-effective， making them suitable compromise options. They can effectively suppress continuous-wave interference but are limited in their ability to suppress mixed interference when pulse interference is present. This limitation occurs owing to the constraints on degrees of freedom for dual antenna GNSS receivers， and it can affect the normal operation of the receiver. To address this problem， this paper proposes a new hybrid interference suppression algorithm. First， the time-domain characteristics of the pulses are utilized to process the input signal in blocks， ensuring that at least one data block does not contain pulse interference. Subsequently， the Space-Time Adaptive Processing Power Inversion （STAP-PI） algorithm is applied to the pulse-free blocks to obtain optimal weights. These weights are then used to suppress the continuous-wave interference in the original signal. Finally， the remaining pulse interference in the processed signal is zeroed in the time domain， achieving the objective of suppressing mixed interference. Simulation and field experiments confirm the effectiveness of the proposed algorithm.