Abstract: A Power Inversion adaptive algorithm(PI)is often used to get the nulling beamform inGNSS jamming techniques.When the signal to interference ratio is 80dB,a PI algorithm can accu-rately identify the direction of jamming at high resolution.However,a large ribbon nulling will formaround the direction of the RF interference signal in the algorithm.If the signal to interference ratioreduces to 20dB,the resolution of the interference signal will seriously deteriorate.The multiple sig-nal classification(MUSIC)algorithm has super-resolution features;it can achieve power minimizationthrough the signal subspace and noise subspace orthogonal principles.A two-dimensional spectralpeak search technology is used in searching the azimuth and elevation of interference to accurately esti-mate the DOA and effectively distinguish the desired signal and the interference signal.When the sig-nal to interference ratio is high,the suppression depth from the MUSIC-PI algorithm is significantlybetter than the traditional power inversion algorithm.In a low signal-to-interference ratio condition,the MUSIC-PI algorithm is still valid when suppressing the interference in the right direction,but thepower inversion algorithm cannot discriminate the direction of interference accurately.Computer sim-ulation results show the effective and robust performance of the MUSIC algorithm in the GNSS jam-ming field.