Near field source direction finding method based on quantum whale optimization mechanism

Abstract

The invention provides a near field source direction finding method based on a quantum whale optimization mechanism. A near field source direction finding model is established; whales in a whale groupare initialized, a fitness function is constructed, the fitness of each whale quantum position is calculated, and a global optimal quantum position is determined; each whale selects one from quantumevolution rules including spiral update, a contracted bounding mechanism and random food searching according to the probability to update the quantum position of itself; the updated whale quantum position is mapped to the whale position, the fitness of each whale quantum position is calculated, a greedy selection strategy is used to select the quantum position, and the globally optimal quantum position is updated; and the globally optimal quantum position is output, and maximum likelihood estimated values of the corresponding azimuth and distance are obtained by mapping transformation. The method can be used to carry out high-precision range finding on coherent near field sources, and the quantum whale optimization mechanism is used to realize the high-precision range finding method.

Description

Technical field [0001] The invention relates to a near-field source direction finding method based on a quantum whale optimization mechanism, which belongs to the field of array signal processing. Background technique [0002] The direction of arrival (DOA) estimation of space sources is one of the important research contents in the field of array signal processing, and it has extremely broad application prospects in many fields such as radar, communication, sonar and so on. According to the propagation distance of the signal source to the receiving array, the signal source can be divided into two categories: near-field source and far-field source. For far-field sources, the wavefront of the signal source arriving at the array is assumed to be a plane wave. However, when the source is a near-field source, the wavefront of the source arriving at the array needs to be accurately described by spherical waves, and the location of each source needs to be jointly determined by the dist...

AI Technical Summary

Problems solved by technology

In the "Joint Estimation Algorithm for Distance, Frequency and Angle of Arrival of Near-field Sources" published in "Acta Electronics Sinica" (2004,32(5):803-806), Chen Jianfeng et al. used fourth-order cumulants to estimate the parameters of near-field sources. And the estimated parameters can be automatically paired, but this algorithm is only suitable for angle estimation under the condition of independent sources

[0004] Existing literature shows that most of the existing near-field source direction finding methods require a large amount of calculation, the parameter optimization process is relatively complicated, and they cannot directly measure the direction of coherent sources. Therefore, the present invention designs a method based on A Maximum Likelihood Near-Field Source Direction Finding Method for the Quantum Whale Optimization Mechanism

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