UAV Polarization Array Joint Attitude Measurement And Reconnaissance

In UAV cluster detection,the navigation technology can not meet the UAVs carrier detection array array element position accuracy and refresh rate,assuming the UAV cluster of each UAV is equipped with an electromagnetic vector sensor,UAVs exchange information via Bluetooth,for UAVs carrying electromagnetic vector sensor polarized array,can be calculated by using spatial spectral feature value algorithm to calculate the blind signal polarization,aircraft position and frequency drift,electromagnetic wave spatial spectrum,the formation of the whole aperture beam,multi target DOA estimation algorithm,only concerned with the UAV attitude parameters to solve the UAV position measurement precision and frequency drift the problem.The innovation of this paper is to propose a method combining UAV attitude estimation,system calibration,separation of coherent signals to improve independent multi signal parameter estimation performance of the three step,the UAVs in the received signal can have a stable,improve the precision of the estimation of DOA,reconnaissance and achieve high precision measurement.The main work of the paper:A method of estimating the attitude of the motion platform based on the signal smoothness of the electromagnetic vector sensor is proposed.This method,first determine the aircraft datum and the coordinate conversion relation matrix;according to the attitude parameter estimation CRLB whether the limited value,to determine whether the electromagnetic signal of the space environment can be used for aircraft attitude measurement;aircraft according to the real-time and quasi radical attitude correlation matrix,whether the approximation is proportional to the three eigenvalue a simple judgment,the electromagnetic wave signal of the space environment is stable;finally,according to the coordinate transformation relation,complete vehicle attitude perception.The electromagnetic vector sensor array does not need to specifically calibrate the signal source.After obtaining four signal DOA estimation parameters during the system operation,we get the six dimensional parameter information of each element's position and attitude error.In the future use,we continue to accumulate position and attitude error information,improve the accuracy of DOA estimation,and realize the self correction of the system.The feasibility of the theory is verified by the simulation experiment.The high order cumulants of arbitrary manifold vector arrays are used to distinguish independent and coherent signals,so as to improve the performance of multitarget parameter estimation.The idea of isolating the target signal by the isolation vector is used to isolate the other signals,and the performance of the independent signal parameter estimation is improved.The electric field steering vector and the electromagnetic steering vector of the independent signal are zero due to vertical and inner product,which filters out all independent signals and improves the performance of coherent signal parameter estimation.The performance of multitarget parameter estimation is improved because of the ability to suppress any number of independent interference,that is,to resist saturation interference in any direction.Finally,the feasibility of the theory is verified by the simulation experiment.