Abstract：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.
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2018, Vol. 46 
