Method for identifying broadband wireless transmitter based on Hammerstein-Wiener model

A broadband wireless and identification method technology, applied in the field of communication, can solve problems such as weak local optimization capabilities

Inactive Publication Date: 2016-11-16
HANGZHOU DIANZI UNIV
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Problems solved by technology

In the identification method of the Hammerstein-Wiener model, it is proposed to introduce the idea of ​​identification degree and proximity learning in the eel algorithm

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  • Method for identifying broadband wireless transmitter based on Hammerstein-Wiener model
  • Method for identifying broadband wireless transmitter based on Hammerstein-Wiener model
  • Method for identifying broadband wireless transmitter based on Hammerstein-Wiener model

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with accompanying drawing.

[0051] The present invention conducts research on the identification of broadband wireless transmitters. First, the broadband wireless transmitter is modeled as a Hammerstein-Wiener model. By introducing the idea of ​​identification degree and proximity learning in the eel algorithm, an improved adaptive niche genetic Algorithm, and apply the algorithm to the identification of model parameters; then use the model parameters as eigenvectors, and use the intuitive Euclidean distance method to realize the identification of broadband wireless transmitters. The following is the detailed steps of a preferred method.

[0052] This embodiment is based on the broadband wireless transmitter identification method of the Hammerstein-Wiener model, and the specific steps are as follows:

[0053] Step 1: Wideband Wireless Transmitter Modeling:

[0054] Hammerstein-Wiener model structure...

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Abstract

The invention discloses a method for identifying a broadband wireless transmitter based on the Hammerstein-Wiener model: the first step: modeling the broadband wireless transmitter; the second step: using an improved adaptive niche genetic algorithm (or grid adaptive direct search (mads) algorithm, adaptive niche genetic algorithm and other model identification algorithms) carry out Hammerstein-Wiener model parameter identification, and obtain the estimated model parameter vector; the third step: broadband wireless transmitter identification. The invention has strong global optimization and local optimization capabilities, and has the advantages of good robustness and high identification accuracy, and its effectiveness is verified in the identification of broadband wireless transmitters.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a method for identifying a broadband wireless transmitter based on a Hammerstein-Wiener model. Background technique [0002] The rapid development of wireless communication services has brought new challenges to the management and detection of radio spectrum. The interception and interference of illegal users and the illegal intrusion of counterfeit users all require the identification and authentication of individual wireless devices. Due to the manufacturing process, even transmitters from the same production line and the same model will have slight differences. Therefore, adopting a new method to identify individual subtle feature differences of wireless transmitter hardware has gradually highlighted its importance. Existing research mainly focuses on the identification technology of wireless transmitters, but very little research on broadband wireless trans...

Claims

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Application Information

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IPC IPC(8): H04B17/10G06N3/12
CPCH04B17/10G06N3/126
Inventor 孙闽红郭泓辰
Owner HANGZHOU DIANZI UNIV
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