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Dec 22, 2023 · FEC (Forward Error Correction) encodes signals as "0" and "1" for transmission, addressing errors within its correction capability. This enables error-free reception without re-transmission when errors fall within the FEC's range.
Forward Error Correction is a process of adding redundant bits to the data to be transmitted. During the transmission, data may get corrupted by interference (changes from 0 to 1 / 1 to 0). These error correction bits are used at the receivers for restoring corrupted bits.
The method described here, based on the well-known Hamming code technique, enables correction of single-bit errors. The method also can be extended to burst errors as explained below.
- 1. Introduction
- 2. The Recognition Process
- LLR(r) = ln = (2) P(v = 1jr) s2
- 3. The Proposed Approach
- 3.1. Data Generation
- 3.2.1. Introduction of Simple RNN
- 4. Simulation Results
- Data Availability Statement: Not applicable.
FEC coding is the most common way of channel coding and the key point of error correction coding. whose characteristics of mathematics ensure the receivers to correct errors that occurred during the process of transmission, it improves the quality of commu-nication systems and has good real-time performance. The FEC coding types are widely used in ...
2. The Recognition Process The The section section presents presents the the schematic schematic diagram diagram of the of digital the digital communication communication system system based based on FEC on coding FEC coding recognition, recognition, as shown as shown in Figure in 1. Figure It includes 1. It includes source coding, source coding, c...
s is the variance of the channel noise and r is the code words of reception and the recognition model of FEC code is used to identify the information bit vector sent by r. In this work, we focus on the recognition of types of FEC codes.
In the section, we expound in detail the identification method of FEC coding type based on RNN and we will apply and verify the reliability of this method in the next section.
In the experiment, we use MATLAB to generate data sets of four different coding types. It is assumed that the information in receiving end has been successfully demodulated and perfect frame synchronization has been achieved. Hence, we consider using the BPSK modulation stream at the receiver of the AWGN channel. In the paper, four kinds of FEC cod...
In recent years, neural network is a hot research object. Further research on artificial neural network promotes the development of deep learning. At present, deep learning has made a series of remarkable achievements in image, text, video, Automatic Speech Recognition (ASR) and other application fields. RNN is a typical network structure in the fi...
In this section, the recognition of the four FEC codes based on the improved RNN network is first simulated. Further considering that the performance of neural network identification is affected by many factors, such as network type, data size, etc., this paper compares different network types, data sizes and the lengths of data, makes comprehensiv...
Acknowledgments: The authors would like to express their thanks to Lu Chen from the National University of Defense Technology for her valuable comments on this paper. Conflicts of Interest: The authors declare no conflict of interest.
May 18, 2016 · Potential victims can call Springfield police at 937-324-7685. Code enforcement officers wouldn’t knock at your door without prior notice that a violation had occurred, Meadows said....
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Aug 6, 2022 · Errors are inevitable over wireless channels. When combined with packet-based communication and fading, errors can essentially cripple a wireless radio. Channel coding or forward error correction is thus an essential part of most modern radios. In this chapter, we...
