Single snapshot direction finding method for multi-pigeon-flock information interaction

Abstract

The invention provides a single snapshot direction finding method for multi-pigeon-flock information interaction. A uniform linear-array single snapshot sampling signal model is established; a singlesnapshot maximum likelihood equation is obtained; a pigeon flock is initialized and the initialized pigeon flock is divided into three sub pigeon flocks; fitness values of pigeon positions in the pigeon flock are calculated and a local optimal position of each sub population and a global optimal position of the pigeon flock are determined; a speed and position of a basic pigeon flock are updated and a chaotic weight is generated; pigeons in a reverse pigeon flock update positions based on a skip operation; the pigeon positions are updated; local optimal positions of the pigeons in the sub pigeon flocks and a global optimal position of the whole pigeon are determined; belief space is updated; and then an optimal global position of the pigeon flock is outputted finally as an incoming wave direction estimation value. Therefore, only single snapshot data are processed to obtain direction of arrival estimation of an array receiving signal, so that the operation load of the DOA estimation isreduced; and the real-time performance of the system is improved and high-precision direction finding of the target incoming wave is realized.

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...

AI Technical Summary

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

Images