The passive radar imaging system exploits the opportunity illuminator as its transmitter. The system realized thedetection of targets we are interested in by deploying multiple receivers around the target area. Comparing with the traditional radarimaging system, the passive radar imaging system has advantages of low cost, robustness against to deliberate directional inferenceand strong survivability. Taking account of the various advantages above, wide attention has been attracted from many researchorganizations. The signal transmitted by the opportunity illuminator is narrow bandwidth which makes the range resolution cell poor.Aiming at solving the problem listed above, the model of the passive radar imaging system is built based on the principle oftomography. Taking account of the sparse distribution of the scatters of the target, a high resolution imaging algorithm is developedbased on the compressed sensing. Finally, the influence of the imperfect motion of the moving platform on the received signal isanalyzed. The contaminated signal model is reformed. The corresponding compensation method based on the fixed-point iterativemethod is proposed for improving the performance of the imaging system by correcting phase errors. The theoretical analysis andnumerical simulations verify the effectiveness of the method.