Probabilistic shaping signal shaping distribution identification method based on amplitude distribution characteristics
A technology of amplitude distribution and signal shaping, applied in the field of communication, can solve problems such as limited entropy granularity, achieve high constellation granularity and low computational complexity
Pending Publication Date: 2022-04-26
SOUTHWEST JIAOTONG UNIV
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However, the entropy granularity that these methods can identify is limited, and the research on identification methods with narrower entropy granularity distribution is also necessary
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[0034] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.
[0035] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.
[0036] figure 1 It shows a schematic flow chart of the distribution identification method of the present invention.
[0037] The first aspect of the present invention provides a method for identifying distri...
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The invention discloses a probabilistic shaping signal shaping distribution identification method based on amplitude distribution characteristics, and relates to the technical field of communication, and the method comprises the steps: extracting the amplitude mean value and amplitude variance characteristics of a signal and the distribution characteristics of sample points in different amplitude regions, inputting the extracted amplitude characteristics into a full-connection deep neural network (DNN), and carrying out the recognition of the shaping distribution of the probabilistic shaping signal. Therefore, the shaping distribution information of the sending signal corresponding to the amplitude characteristics is extracted by using the DNN. According to the method, only the received signal needs to be simply preprocessed, carrier phase recovery and clock recovery processing does not need to be carried out on the information, and information such as the signal-to-noise ratio of the signal does not need to be predicted; in addition, in a probability shaping quadrature amplitude modulation system with high signal entropy granularity, high recognition accuracy can be achieved.
Description
technical field [0001] The present invention relates to the field of communication technology, and more specifically, relates to a probabilistic shaping signal shaping distribution identification method based on amplitude distribution characteristics. Background technique [0002] With the rapid development of new services and technologies represented by cloud computing, Internet of Things, and fifth-generation (5G) mobile communications, the annual global data traffic presents an exponential explosion trend, which affects the optical transmission as the basis of the entire communication system. The network puts forward higher performance requirements. Probabilistic Shaping Quadrature Amplitude Modulation (PS-MQAM) systems have been extensively studied today, which can improve the performance and flexibility of fiber optic communication systems. By assigning different probabilities to the constellation symbols, PS-MQAM allows dynamic adjustment of the information rate accor...
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IPC IPC(8): H04B10/61G06K9/00G06N3/04
CPCH04B10/6161H04B10/6164H04B10/6165H04B10/6162G06N3/045G06F2218/12
Inventor 易安林廖鹏程闫连山罗斌蒋林
Owner SOUTHWEST JIAOTONG UNIV