The increasingly complex radio frequency electromagnetic environment seriously interferes the normal operation of GNSS. Spatial adaptive processing using multi antenna can effectively suppress the interference

but the spatial adaptive processing algorithm may introduce the satellite signal carrier phase measurement error. In addition

nonideal factors of the array will also introduce errors

which is intolerable for high-precision measurement systems. Therefore

in this paper

the influence of the frequently-used spatial adaptive processing algorithm on the carrier phase measurement is analyzed theoretically. Furthermore

a blind adaptive processing algorithm does not need the array manifold information is proposed

which can effectively increase the antenna gain in the direction of the desired satellite while forming reception nulls towards the interference

meanwhile

the introduced carrier phase measurement error is reduced effectively

referred to as two step De-spread Re-spread (DR) algorithm. The core idea of the proposed algorithm is to add a high accuracy frequency estimation modular to the DR algorithm

the fine carrier frequency estimation is then used to construct the local reference signal

so as to ensure the error between the steering vector obtained beamforming weight vector and the satellite signal as small as possible.