Array response control method

Abstract

The invention belongs to the field of beam synthesis in array signal processing, and mainly aims to provide an array response control method, which minimizes beam pattern deviations in other directions while realizing accurate amplitude response control of a single array response control point, and is used for realizing efficient synthesis of beam patterns. According to the method, a weight vectorto be solved is constructed into a linear summation form that an initial weight vector and a steering vector corresponding to an array response control point are multiplied by a complex coefficient,a weight vector optimization problem based on precise amplitude response control of a single array response control point is established, and the complex coefficient is solved according to a minimum beam pattern deviation criterion, a closed-form solution of the weight vector to be solved is obtained, the influence of array response in other arbitrary directions in the weight vector solving process can be reduced, and the beam synthesis efficiency is improved. The weight vector solving complexity is low, hardware resources are consumed, and rapid and accurate array response control can be achieved.

Description

technical field [0001] The invention belongs to the field of beam synthesis in array signal processing, and relates to an array response control method. Background technique [0002] Beam synthesis is an important research direction in the field of array signal processing. By designing the weight vector of array antenna, the energy distribution in space can be realized. An important scenario in beam synthesis is to precisely control the array response at a specific azimuth point to improve the accuracy of beam synthesis. There are three commonly used methods in beam synthesis: global optimization algorithm, convex optimization algorithm and iterative algorithm based on adaptive array theory. [0003] The global optimization algorithm uses algorithms such as differential evolution, particle swarm optimization, and simulated annealing to design reasonable antenna weight vectors and realize the synthesis of beam patterns. However, this kind of method requires large computatio...

AI Technical Summary

Problems solved by technology

This type of algorithm is more efficient than the global optimization algorithm, but this type of algorithm cannot achieve precise array response control

The iterative algorithm based on adaptive array theory has attracted extensive attention due to its efficient solution and flexible array response control characteristics. However, since the beam pattern is a continuous function of the weight vector, the beam pattern of the entire spatial region will be changed when the weight vector is designed. Performance, causing deviation of the array map in other azimuths, reducing the efficiency of beam synthesis

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