Multi-target direct positioning method based on uncorrected array and neural network

Abstract

The invention relates to a multi-target direct positioning method based on an uncorrected array and a neural network. The method comprises: placing single signal sources at different discrete coordinate points (known positions), establishing a sample library of uncorrected array manifold responses; enabling the uncorrected array to acquire target signal source data and to estimate the array manifold matrix thereof; using the sample library to automatically pair column vectors in the array manifold matrix, and classifying the array manifold vectors corresponding to the same target into the samegroup and merging the same into a high-dimensional data vector, determining the approximate area of each target; training a radial basis neural network by using the data sample corresponding to the approximate area of each target position, and using the high-dimensional data vector corresponding to each target as the input of the neural network, and using the output of the nerve network as the estimated position for the target. The method can avoid the huge computational amount caused by the correction of the antenna array and the grid search, has a good practical application value, and stable, reliable and high performance.

Description

technical field [0001] The invention belongs to the technical field of radio signal positioning, in particular to a multi-target direct positioning method based on an uncorrected array and a neural network. Background technique [0002] As we all know, radio signal positioning is very important for target discovery and situation awareness, and it has very important applications in many engineering science fields such as communication signal reconnaissance, electronic information countermeasures, radio monitoring, telemetry and navigation. According to the number of observation stations, the radio signal positioning system can be divided into two categories: single-station positioning and multi-station positioning. These two types of positioning systems have their own advantages. Specifically, the single-station positioning system has the advantages of high flexibility, good mobility, simple system, no need for information synchronization and information transmission, etc., w...

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Problems solved by technology

[0004] Aiming at the problems of large amount of calculation and unfavorable real-time positioning in multi-target positioning, the present invention provides a multi-target direct positioning method based on uncorrected array and neural network, which can not only avoid correction of antenna array, but also avoid grid search The resulting huge amount of computation

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