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A digital signal modulation mode identification method

A modulation method identification and digital signal technology, which is applied in the direction of digital transmission system, modulation carrier system, transmitter/receiver shaping network, etc., to achieve the effect of expanding range, good robustness, and good classification and recognition effect

Inactive Publication Date: 2019-05-21
HEFEI UNIV OF TECH
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Problems solved by technology

Aiming at the problem of space-time block code identification in multiple-input multiple-output communication systems, a blind recognition method of space-time block codes based on high-order cumulants is proposed. This method can only identify and classify multi-ary quadrature amplitude modulation signals

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  • A digital signal modulation mode identification method
  • A digital signal modulation mode identification method
  • A digital signal modulation mode identification method

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Embodiment Construction

[0030] Such as figure 1 As shown, a novel digital signal modulation identification method, the method includes the following sequential steps:

[0031] (1) Knowledge acquisition and estimation: when the communication system works in a known modulation mode, the original data flow sequence [x 1 ,x 2 ,x k ,...,x w ] Utilize differential space-time coding technology to encode, remember the codeword of the kth data stream after differential space-time coding is: where N t The value of is equal to the number of system transmit antennas; use x(k) and channel matrix to estimate the received signal sequence Among them, N r Indicates the number of receiving antennas; y(k)=Jx(k)+n(k), where, n(k) is the variance of complex Gaussian white noise sequence; J is the multipath fading channel matrix, in, is the transmitting matrix of the transmitting antenna, is the receiving antenna autocorrelation matrix, A iid is the independent and identically distributed Rayleigh fadin...

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Abstract

The invention relates to a digital signal modulation mode identification method, which comprises the following steps of: encoding an original data stream sequence of a transmitting end with a known modulation mode by utilizing a differential space-time encoding technology to obtain a code word sequence x (k), and estimating by utilizing autocorrelation matrixes J and x (k) to obtain a receiving signal sequence y (k); carrying out zero-forcing equalization technology processing on y (k) to obtain a received signal compensation matrix (shown in the specification), and calculating the received signal compensation matrix (shown in the specification) by utilizing different high-order cumulants (shown in the specification); and calculating the received signal compensation matrix (shown in the specification) by utilizing different high-order cumulants (shown in the specification). obtaining a received signal eigenvector matrix Cij according to the eigenvector of the received signal eigenvector matrix Cij and the eigenvector of the received signal eigenvector matrix Cij; And performing normalization processing on the Cij to obtain a normalized modulation mode feature vector CijF, and inputting the normalized modulation mode feature vector CijF and a deep learning network which is trained and built by the CijF and the category label pair. According to the system for identifying the modulation mode to be identified, a receiving signal sequence is collected at the receiving end of the system, a normalized modulation identification feature vector is obtained according to the method inthe above step and serves as the input of a trained classifier, the output of the classifier serves as the tag sequence of the system modulation mode, and modulation mode judgment is completed.

Description

technical field [0001] The invention relates to the technical field of wireless communication digital signal modulation identification, in particular to a digital signal modulation identification method. Background technique [0002] Automatic modulation classification is the intermediate link between signal detection and data demodulation. By observing the received data samples, it can automatically identify the modulation type of the received signal. At present, signal identification has been extended to military applications and civilian applications, including signal confirmation, interference identification, spectrum monitoring, and radio monitoring, which play a key role in communication applications. Classification of communication signal modulation types is a typical pattern recognition problem, which involves many complex factors. With the rapid development of communication technology, communication systems and modulation methods have become more complex and divers...

Claims

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Application Information

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IPC IPC(8): H04L27/00H04L25/03
Inventor 袁莉芬宁暑光何怡刚姚玲程珍袁志杰赵德勤
Owner HEFEI UNIV OF TECH
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