A Single-Snapshot Direction Finding Method for Multi-Pigeon Group Information Interaction

Abstract

The present invention provides a single snapshot direction finding method for multi-pigeon group information interaction, establishes a uniform linear array single-shot sampling signal model; obtains a single-shot maximum likelihood equation; initializes a pigeon group, and divides it into three sub-groups Pigeon group; calculate the fitness value of the pigeon position in the pigeon group, determine the local optimal position of each subpopulation and the global optimal position of the entire pigeon group; update the speed and position of the basic pigeon group, and generate chaotic weights; reverse the pigeon group The position of the pigeons is updated according to the jump operation; the position of the pigeons is updated; the local optimal position of the pigeons in the group of pigeons and the global optimal position of the entire group of pigeons are determined; the belief space is updated; the final output of the global optimal position of the group of pigeons is Estimated direction of arrival. The present invention only processes the data of a single snapshot to obtain the estimation of the direction of arrival of the received signal of the array, reduces the calculation amount of DOA estimation, improves the real-time performance of the system, and realizes the high precision of the incoming wave of the target direction finding.

Description

technical field [0001] The invention relates to a single-snapshot direction finding method for multi-pigeon group information interaction, which belongs to the field of array signal processing. Background technique [0002] Direction of Arrival (DOA) estimation has always been a hot topic in array signal processing, and has been widely used in communication, radar and sonar systems. The traditional multiple signal classification method (MUSIC) and the rotation invariant subspace technique for signal parameter estimation (ESPRIT) already have high estimation performance, but these algorithms are based on the eigenvalue decomposition operation, and often for Achieving good estimation performance requires hundreds or even thousands of snapshots, which not only has low real-time performance, but also requires a lot of computation. [0003] In order to reduce the computational load of DOA estimation and improve the real-time performance of the system, single-snapshot DOA estimat...

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Problems solved by technology

[0004] According to the existing technical literature, in the "Single Snapshot Direction of Arrival Matrix Method" published by Wang Ling et al. in "System Engineering and Electronic Technology" (2012, Vol. , using the rearrangement of received signals to construct a pseudo-covariance matrix, but the pseudo-covariance matrix constructed by this method has a loss of array degrees of freedom due to the limited information used

The reconstructed covariance matrix proposed by Wu Yifeng et al. in "Research on Direction of Arrival Estimation of Coherent Signal Sources Based on Toeplitz Matrix Reconstruction" published in "Electro-Optics and Control" (2010.Vol.17, No.3, pp.60-63) , which improves the resolution to a certain extent, but it is based on the large number of snapshots, which is not conducive to real-time processing

[0005] Existing literature shows that single-snapshot DOA estimation can improve the real-time performance of the system and reduce the amount of computation, but the reduction in the number of snapshots will lead to inaccurate estimation performance, so it is necessary to design a high-performance single-snapshot direction finding method

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