Blind detection method and device for polar codes based on neural network
A neural network and neural network model technology, which is applied in the field of blind detection of polar codes based on neural networks, can solve problems such as determining errors and reducing accuracy, and achieve the effect of reducing false alarm rate and improving accuracy.
Active Publication Date: 2020-05-12
BEIJING UNIV OF POSTS & TELECOMM
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However, using this method often leads to errors in determining the type of the received signal, which reduces the accuracy of the receiver's detection model in determining whether the received signal is a useful signal or a useless noise signal, that is, increases the false alarm rate of the receiver's detection
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[0065] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0066] In order to solve the problems in the prior art, an embodiment of the present invention provides a neural network-based polar code blind detection method and device. A neural network-based polar code blind detection method provided by an embodiment of the present invention is firstly introduced below.
[0067] Such as figure 1 as shown, figure 1 A schematic flowchart of a neural network-based polar code blind detection method provided by an embodiment...
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The embodiment of the invention provides a polarization code blind detection and device based on a neural network. The method comprises the steps of: calculating a specific value of an Euclidean distance of receiving signals and a signal sequence after re-coding modulation and an Euclidean distance of the receiving signals and a full-0 sequence, and inputting a preset neural network model to obtain a data feature value; and comparing the data feature value with a data feature value threshold value of pre-stored useful signals to obtain a conclusion of determination of whether the receiving signals are useful signals or useless signals or not. According to the embodiment of the invention, the accuracy of determination of whether the receiving signals are useful signals or useless noise signals or not by a receiving terminal detection model is improved, that is, the false alarm rate of detection of the receiving terminal is reduced.
Description
technical field [0001] The invention relates to the technical field of polar code detection, in particular to a neural network-based polar code blind detection method and device. Background technique [0002] In recent years, polar code (Polar Code) has been identified as a coding scheme for enhanced mobile broadband (eMBB, Enhance Mobile Broadband) scenarios in the 5th generation communication system. When polar code is used, polar code needs to be detected blindly. , that is, the receiving end detects the received information. [0003] At present, the blind detection of polar codes uses the traditional blind detection model, and performs CRC (Cyclic Redundancy Check, Cyclic Redundancy Check) assisted serial cancellation list (CA-SCL, CRC-aided successive cancellation list) decoding on the received signal , to obtain L candidate paths, perform cyclic redundancy check on the L candidate paths, and judge whether there is a path that passes the cyclic redundancy check, if the...
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IPC IPC(8): H04L1/00
CPCH04L1/0038H04L1/004H04L1/0057
Inventor 牛凯董超朴瑨楠高健
Owner BEIJING UNIV OF POSTS & TELECOMM