Broadband direction finding method based on quantum dragonfly evolution mechanism

Abstract

The invention provides a broadband direction finding method based on a quantum dragonfly evolution mechanism. A broadband signal sampling model is built; quantum dragonfly evolution parameters are initialized; the fitness of each quantum dragonfly is calculated; the neighborhood radiuses and relevant parameters of neighborhood quantum dragonflies are updated for the first half of a quantum dragonfly colony, and relevant parameters of each quantum dragonfly are updated for the second half of the quantum dragonfly colony; the fitness values of the positions of all the quantum dragonflies are calculated; whether the maximum number of iterations is reached or not is judged; if yes, the global optimal quantum position of the quantum dragonfly colony is mapped to the optimal position; and an angle to be estimated for broadband direction of arrival estimation is obtained. According to the method, a broadband signal is subjected to direction finding, so that the calculation amount and the calculation time are reduced and shortened, and the convergence speed and the convergence precision are improved; the high-precision direction finding is achieved; a coherent source and an independent source can be subjected to direction of arrival estimation at the same time; the method has excellent anti-noise performance and a relatively high estimation success probability; and the direction finding performance is superior to that of a broadband direction finding method based on a particle swarm algorithm.

Description

technical field [0001] The invention belongs to the field of array signal processing, and in particular relates to a broadband direction finding method based on a quantum dragonfly evolution mechanism. Background technique [0002] Array signal processing is widely used in communication, radar and sonar, and DOA estimation is one of the important research directions in the field of array signal. Broadband signals have the advantages of carrying a large amount of information, and are easy to detect target signals, estimate parameters, and extract features. Moreover, broadband signals such as frequency hopping signals, spread spectrum signals, and chirp signals are more and more widely used in communication systems. Therefore, it is more important to study the direction of arrival estimation of broadband signals. [0003] The maximum likelihood algorithm is to calculate the covariance matrix and orthogonal projection matrix of the signal by processing the received data, and t...

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Problems solved by technology

Li Xin, Liu Wenhong published "Research on Wideband Multi-signal Direction Finding Method Based on Frequency Domain Correlation and SVM" in "Computer Engineering and Application" (2013, Vol.49, No.20, pp.227-229) The method has a large amount of computation, low convergence accuracy, and poor performance

[0006] Although the above method has achieved good results in the broadband direction finding problem, but the solution accuracy is not high, the convergence performance is poor and the amount of calculation is large, so it is necessary to design a new broadband direction finding method to solve these problems

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