Study On Methods Of Parameter Estimation Of Polarization Sensitive Array Signal In Colored Noise

Electromagnetic Vector Sensor array signal processing in the field of signal processing is an emerging hotspot in its defense, communications, aviation and many other areas have broad application prospects.In this paper, Electromagnetic Vector Sensor array estimat parameter is the objective, focus on the depressing variety of colored noise, To improve the performance of array signal parameter estimation as the core, made a variety of excellent ways and means of the sensor array parameter estimation contrapose Typical polarization for different array structures and signal characteristics., at the first, for single electromagnetic vector sensor DOA and polarization estimation, respectively, relevant and presented based on cyclic cumulant-based sub-space-Minimum Norm Method,the second, widely used for engineering linear polarization array of DOA and polarization estimation problems, were proposed based on circular correlation and cumulant-based sub-space-Minimum Norm Method, finally, for any structure more general polarization array of DOA and polarization estimation is proposed based on cyclic correlation of sub-space-minimum norm method. Theoretical analysis and simulation results show that The proposed parameter estimation of these polarization array parameter estimation method has high accuracy, noise rejection capability and computation features. So,Has a high theoretical value and significance of engineering applications.