Optimal Method for Direction Finding with Complete Electromagnetic Component Weighted Fusion Based on Polarization Sensitive Array

Abstract

The invention discloses a complete electromagnetic component weighted fusion direction finding optimization method based on a polarization sensitive array. The array data of different polarization directions, and respectively record as the array data of X, Y, Z electric polarization direction and the array data of X, Y, Z magnetic polarization direction; Get X, Y, Z electric polarization direction target airspace angle respectively Fine search value and target airspace angle fine search value in X, Y, Z magnetic polarization directions; and calculate the estimated value of airspace angle after weighted fusion of six different polarization directions of the polarization sensitive array; finally calculate the auxiliary polarization angle of the target and the target The polarization phase difference of the polarization sensitive array; the estimated value of the airspace angle after the weighted fusion of six different polarization directions of the polarization sensitive array, the auxiliary polarization angle of the target and the polarization phase difference of the target are the complete electromagnetic components based on the polarization sensitive array Weighted fusion direction finding results.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a complete electromagnetic component weighted fusion direction-finding optimization method based on a polarization-sensitive array, which is suitable for enhancing the direction of arrival (Direction of Arrival, DOA) estimation accuracy of the polarization-sensitive array. Background technique [0002] With the rapid development of modern electromagnetic technology, the electromagnetic environment is getting worse and worse, and new and higher requirements are put forward for the performance of parameter estimation in the field of array signal processing; and the target direction of arrival (Direction of Arrival, DOA) estimation is an important aspect of array signal processing. Therefore, it is necessary to study how to ensure the estimation accuracy and resolution of the target angle of arrival in a complex and changeable electromagnetic environment. [00...

AI Technical Summary

Problems solved by technology

[0003] In practical applications, due to the small number of available stationary samples due to platform motion or fast target motion, traditional subspace-based methods, such as the MUSIC algorithm, cannot perform accurate parameter estimation; in addition, coherent signals due to factors such as environmental reflections , causing the signal subspace of the coherent signal source and the noise subspace to "contaminate" each other, making the covariance matrix rank-deficient, and the traditional estimation method has the phenomenon of degraded estimation performance or even inaccurate estimation

Now there are many decoherence techniques, such as spatial smoothing method, etc., which apply the traditional parameter estimation method after corresponding processing of the received data of the array, but most of the methods will reduce the actual aperture of the array antenna and reduce the estimation accuracy of the parameters; in addition, the traditional Although the maximum likelihood (DML) and stochastic maximum likelihood (SML) methods have good statistical properties, such algorithms can only converge to the global minimum after setting a suitable initial value, and this type of algorithm also depends on the data Statistical characteristics, need to obtain a large number of accurate samples

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