Eigenvector-Based Maximum Likelihood Modulation Recognition Method in Multi-sensor Reception

A technology of eigenvector and modulation identification, applied in modulation type identification, modulation carrier system, transmission system, etc., can solve the problems of low reliability and low recognition accuracy, and achieve the effect of improving receiving gain

Active Publication Date: 2019-06-28
THE PLA INFORMATION ENG UNIV
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Problems solved by technology

[0005] The present invention aims at the problems of low recognition accuracy and low reliability of signal modulation modes in the application fields such as communication signal monitoring in a non-cooperative receiving environment, and proposes a maximum likelihood modulation recognition method based on eigenvectors in multi-sensor reception

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  • Eigenvector-Based Maximum Likelihood Modulation Recognition Method in Multi-sensor Reception
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  • Eigenvector-Based Maximum Likelihood Modulation Recognition Method in Multi-sensor Reception

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Embodiment 1

[0030] Example 1: Combination Figure 1-Figure 4 The present invention addresses the problem of using feature vectors to construct likelihood functions for maximum likelihood modulation recognition in the case of multi-sensor non-cooperative reception. Taking the set of modulation types of signals to be identified {BPSK, QPSK, 8PSK} as an example, when the number of sensors is greater than 5, the number of symbols is greater than 300, and the signal-to-noise ratio is greater than 2dB, the recognition rate can reach 100%.

[0031] The flow of the maximum likelihood modulation recognition method based on feature vector in multi-sensor reception, such as figure 1 As shown, including the following steps:

[0032] Step 1: Each sensor sub-node estimates the signal-to-noise ratio, extracts the recognition feature, and constructs the recognition feature vector (F 1 ,F 2 ,...,F N ); Step 2: The master node constructs a likelihood function based on the recognition feature vector; Step 3: Th...

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Abstract

The invention belongs to the technical field of communication signal modulation recognition in a multi-sensor non-cooperative reception environment and particularly relates to a maximum likelihood modulation recognition method based on feature vectors in multi-sensor reception. The method comprises the following steps that step 1.each sensor sub-node estimates a signal-to-noise ratio, extracts modulation recognition features and configures recognition feature vectors according to respective receiving signals; step 2.a likelihood function based on the recognition feature vectors is configured on a major node; and step 3.maximum likelihood judgement is carried out in a to-be-recognized signal modulation type set at the major node according to the configured likelihood function, so that a recognition result is obtained. The method adopts the multi-sensor reception signals, extracts the recognition feature vectors and designs a classifier, so that the problems of accuracy and reliability of the communication signal modulation recognition under the band conditions in a mobile communication, short-wave communication or underwater acoustic communication process are solved.

Description

Technical field [0001] The invention belongs to the technical field of identification of communication signal modulation modes in a multi-sensor non-cooperative receiving environment, and specifically relates to a maximum likelihood modulation identification method based on feature vectors in multi-sensor receiving. Background technique [0002] In the process of mobile communication, shortwave communication or underwater acoustic communication, due to the multipath effect, the receiving point receives a vector superposition of signals from multiple paths, and the quality of the signals received by different receiving points is different. Traditional single-sensor reception cannot take advantage of the signal difference of receiving points at different locations, while multi-sensor reception can use different locations to obtain signals of different reception qualities, and improve the quality of received signals through data fusion. Therefore, the multi-sensor reception can impr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L1/00H04L27/00
CPCH04L1/0041H04L1/0046H04L1/0054H04L27/0012
Inventor 王彬岳强彭华汪洋孙亮黄焱马金全邱钊洋姚祺
Owner THE PLA INFORMATION ENG UNIV
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