Abstract:There exist the following problems in the available methods for Direct Position Determination(DPD) of Non-Circular(NC) sources with multiple base stations: high computational complexity of spectral peak search, sensitivity to the location of base stations, and lack of consideration of the difference in signal loss when propagating in space, which leads to unstable performance. A DPD method is proposed for NC sources: Joint Reduced Dimension Propagator Method and Taylor Compensation(JRT-PM). First, the array aperture is expanded according to the elliptic covariance information of NC signals. Then, the NC phase search dimension is eliminated by the dimension reduction method for rough estimation to reduce the computational complexity. Next, the Taylor compensation is combined with the information of all base stations to improve the estimation performance of the algorithm. Simulation experiments show that compared with the traditional two-step localization algorithm by Angle Of Arrival K-means clustering(AOA-clustering), Minimum Variance Distortionless Response(MVDR) DPD method and Subspace Data Fusion(SDF) DPD method, the proposed algorithm can estimate more targets while improving the localization accuracy. Compared with Non-Circular Propagator Method(NC-PM) DPD method, the proposed algorithm significantly reduces the computational complexity while ensuring the estimation performance.