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error correction coding for One-Bit Quantization With CNN-Based AutoEncoder

IEEE COMMUNICATIONS LETTERS 2022年第8期26卷 1814-1818页

作者： Zeng, Rui Lu, Zhilin Wang, Jintao Song, Jian Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing 100084 Peoples R China

Recently, a deep learning based error correction coding scheme is proposed to compensate for the severe distortion due to one-bit quantization. However, the fully-connected (FC) layers aided autoencoder is too heavy, resulting in high storage cost. In this letter, a novel convolutional autoencoder named ECCNet is introduced to lighten the scheme. Additionally, the soft quantization function is introduced to overcome the gradient mismatch. The squeeze and excitation (SE) block is applied for further performance boosting. Simulations show that the BER performance of the proposed ECCNet outperforms the previous state-of-the-art method under 16-QAM modulation with fewer parameters required. Furthermore, the proposed autoencoder design has impressive robustness in near Gaussian multi-path fading channels.

关键词： Quantization (signal) Symbols Turbo codes Encoding Decoding Modulation error correction codes error correction coding one-bit quantization convolutional neural network squeeze and excitation network

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Deep Learning Based Pilot-Free Transmission: error correction coding for Low-Resolution Reception Under Time-Varying Channels

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2023年第12期72卷 16031-16041页

作者： Zeng, Rui Lu, Zhilin Zhang, Xudong Wang, Jintao Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol Beijing 100084 Peoples R China

Recently, deep learning aided methods have been developed for error correction coding with quantitative constraints. However, previous studies only focus on additive white Gaussian noise (AWGN) channels, which is not sufficient for actual communication environments. In this article, we propose a novel autoencoder aided error correction coding scheme for low-resolution reception under time-varying channels. Based on the symbol extension of the proposed autoencoder and the faster-than-Nyquist (FTN) technology, pilot-free transmission can be realized without adding additional bandwidth. The transformer block is introduced to lighten and improve the decoder. Additionally, two kinds of preamplification techniques are applied for further performance boosting. Simulations show that the proposed method can achieve better performance compared with the traditional methods at high signal-to-noise ratio (SNR) under different time-varying channels without quantization. Moreover, it outperforms the previous state-of-the-art ECCNet and can achieve remarkable transmission performance even under time-varying low-resolution reception scenarios.

关键词： error correction coding faster-than-Nyquist low-resolution reception pilot-free transmission preamplification

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Single Photon Detection Technology in Underwater Wireless Optical Communication:Modulation Modes and error correction coding Analysis

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Journal of Ocean University of China 2024年第2期23卷 405-414页

作者： GAI Lei LI Wendong WANG Guoyu Faculty of Information Science and Engineering Ocean University of ChinaQingdao 266100China

This study explores the application of single photon detection(SPD)technology in underwater wireless optical communication(UWOC)and analyzes the influence of different modulation modes and error correction coding types on communication *** study investigates the impact of on-off keying(OOK)and 2-pulse-position modulation(2-PPM)on the bit error rate(BER)in single-channel intensity and polarization ***,it compares the error correction performance of low-density parity check(LDPC)and Reed-Solomon(RS)codes across different error correction coding *** effects of unscattered photon ratio and depolarization ratio on BER are also ***,a UWOC system based on SPD is constructed,achieving 14.58 Mbps with polarization OOK multiplexing modulation and 4.37 Mbps with polarization 2-PPM multiplexing modulation using LDPC code error correction.

关键词： error correction coding modulation mode single photon detection underwater communication wireless optical communication

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Autoencoder-Based error correction coding for One-Bit Quantization

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IEEE TRANSACTIONS ON COMMUNICATIONS 2020年第6期68卷 3440-3451页

作者： Balevi, Eren Andrews, Jeffrey G. Univ Texas Austin Dept Elect & Comp Engn Austin TX 78712 USA

This paper proposes a novel deep learning-based error correction coding scheme for AWGN channels under the constraint of one-bit quantization in receivers. Specifically, it is first shown that the optimum error correction code that minimizes the probability of bit error can be obtained by perfectly training a special autoencoder, in which "perfectly" refers to converging the global minima. However, perfect training is not possible in most cases. To approach the performance of a perfectly trained autoencoder with a suboptimum training, we propose utilizing turbo codes as an implicit regularization, i.e., using a concatenation of a turbo code and an autoencoder. It is empirically shown that this design gives nearly the same performance as to the hypothetically perfectly trained autoencoder, and we also provide a theoretical proof of why that is so. The proposed coding method is as bandwidth efficient as the integrated (outer) turbo code, since the autoencoder exploits the excess bandwidth from pulse shaping and packs signals more intelligently thanks to sparsity in neural networks. Our results show that the proposed coding scheme at finite block lengths outperforms conventional turbo codes even for QPSK modulation. Furthermore, the proposed coding method can make one-bit quantization operational even for 16-QAM.

关键词： Decoding Training Quantization (signal) Turbo codes Communication systems error correction codes symbol Deep learning error correction coding one-bit quantization

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EFFECTS OF HARD-LIMITER AND error-correction coding ON PERFORMANCE OF DIRECT-DETECTION OPTICAL CDMA SYSTEMS WITH PPM SIGNALING

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 1995年第9期E78A卷 1092-1101页

作者： OHTSUKI, T SASASE, I MORI, S Science Univ of Tokyo Noda-shi Japan

The effect of an optical hard-limiter on the performance of direct-detection optical synchronous code-division multiple-access (CDMA) systems with M-ary pulse position modulation (PPM) signaling is analyzed. Moreover, the effect of the error correction coding on the performance of direct-detection optical synchronous CDMA systems with PPM signaling is analyzed: Reed-Solomon (RS) codes and convolutional codes (CC's) with soft-decision Viterbi decoding are employed. We analyze the performance under the assumption of Poisson shot noise model for the receiver photodetector and the noise due to the detector dark currents is considered. We analyze the performance under average power and bit rate constraints. Our results show that the optical hard-limiter is not effective for improving the performance of the optical CDMA systems with PPM signaling. Moreover, RS codes are shown to be more effective than CC's with soft-decision Viterbi decoding to reduce an asymptotic floor to the error probability of the system with large M, while CC's with soft-decision Viterbi decoding is more effective than RS codes for the system with small M. Furthermore, we show that as the code rate of the error correction code increases, the required average energy to achieve the bit error probability P-b = 10(-5) for the RS coded PPM/CDMA system appreciably increases compared with that for the convolutional coded PPM/CDMA system when M = 16.

关键词： HARD-LIMITER error correction coding CDMA PPM

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Cross-layer combination of predictive control and error correction coding for wireless feedback control

Cross-layer combination of predictive control and error corr...

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IEEE VTS Asia Pacific Wireless Communications Symposium

作者： Kasai, Kohei Kobayashi, Kentaro Okada, Hiraku Katayama, Masaaki Nagoya Univ Dept Informat & Commun Engn Chikusa Ku Furo Cho Nagoya Aichi 4648603 Japan Nagoya Univ Inst Mat & Syst Sustainabil Nagoya Aichi Japan

ISBN: (纸本)9781728112046

In wireless feedback control systems, control quality deteriorates due to wireless channel error and packet loss. Therefore, suppression of the deterioration of control quality is an important problem in wireless feedback control. As techniques to improve the control quality, there are techniques such as error correction coding to reduce wireless channel error in the communication layer and predictive control to compensate packet loss in the control layer. The purpose of this study is improvement of control quality by a cross-layer combination of predictive control and error correction coding. We propose a method to combine predictive control information redundancy and error correction code redundancy, and clarify the characteristics of their combinations by comparison of the control quality by computer simulation. We show that the proposed method improves tolerance to channel error compared to the single use of either of them.

关键词： Wireless control feedback control error correction coding predictive control

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Comparative performance of watermarking schemes using Mary modulation with binary schemes employing error correction coding

Comparative performance of watermarking schemes using Mary m...

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Security and Watermarking of Multimedia Contents III Conference

作者： Bradley, B Brunk, H Digimarc Corp Tualatin OR 97062 USA

ISBN: (纸本)0819439924

A common application of digital watermarking is to encode a small packet of information in an image, such as some form of identification that can be represented as a bit string. One class of digital watermarking techniques employs spread spectrum like methods where each bit is redundantly encoded throughout the image in order to mitigate bit errors. We typically require that all bits be recovered with high reliability to effectively read the watermark. In many watermarking applications, however, straightforward application of spread spectrum techniques is not enough for reliable watermark recovery. We therefore resort to additional techniques, such as error correction coding. As proposed by M. Kutter (1), M-ary modulation is one such technique for decreasing the probability of error in watermark recovery. It(1) was shown that M-ary modulation techniques could provide performance improvement over binary modulation, but direct comparisons to systems using error correction codes were not made. In this paper we examine the comparative performance of watermarking systems using M-ary modulation and watermarking systems using binary modulation combined with various forms of error correction. We do so in a framework that addresses both computational complexity and performance issues.

关键词： digital watermarking error correction coding M-ary modulation digimarc

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An error correction coding Combined Robust Video Watermarking Algorithm for H. 264 Standard

An Error Correction Coding Combined Robust Video Watermarkin...

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IEEE International Conference on Anti-Counterfeiting, Security and Identification (ASID)

作者： Lin, Qiwei Huaqiao Univ Coll Informat Sci & Engn Xiamen Peoples R China

ISBN: (纸本)9781479911097

Based on new characteristics of H. 264 / AVC, video compression coding standard, a robust video watermarking algorithm for H. 264 that combined with the error correction coding technology was put forward in the paper. In order to improve the robustness to the attack, the error correction code was applied first on the watermark information, then the Lagrangian optimization coding control model was introduced in the watermarking algorithm, for achieving the best rate-distortion balance. After tested on different video test sequences, the experimental results shown that the algorithm had small influence on video quality and bit rate, and had certain robustness to the attack such as adding noise on video or re-encoding, and etc. The extraction of watermark did not need completely decoding for the compressed code stream, and could realize watermark blind extraction. The algorithm had achieved low complexity, and could satisfy the need of real-time video watermark detection.

关键词： H.264/AVC standard Video watermarking algorithm error correction coding Robustness

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5 Mbps Optical Wireless Communication with error correction coding for Underwater Sensor Nodes

5 Mbps Optical Wireless Communication with Error Correction ...

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Washington State Conference and Trade Center (WSCTC)

作者： Simpson, Jim A. Cox, William C. Krier, John R. Cochenour, Brandon Hughes, Brian L. Muth, John F. N Carolina State Univ Dept Elect & Comp Engn Raleigh NC 27695 USA

ISBN: (纸本)9781424443338

One issue with underwater sensors is how to efficiently transfer large amounts of data collected by the node to an interrogating platform such as an underwater vehicle. It is often impractical to make a physical connection between the node and the vehicle which suggests an acoustic or optical wireless solution. For large amounts of data, the high bandwidth of underwater optical wireless is an advantage. A small, low-cost platform to demonstrate the potential of an optical wireless communications interface for underwater sensor nodes is demonstrated. To enhance the reliability and robustness of the optical wireless communication digital signal processing and error correction techniques are used. The system was tested in 3 and 7.7 meter tanks at 5 Mbps with the turbidity of the water controlled by the addition of Maalox.

关键词： bit rate 5 Mbit/s digital signal processing error correction codes error correction coding optical wireless communication reliability telecommunication network reliability underwater optical wireless communication underwater sensor node wireless sensor networks

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Compressive Sensing for Background Subtraction Based on error correction coding 3

Compressive Sensing for Background Subtraction Based on Erro...

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3rd International Workshop on Compressed Sensing Theory and its Application to Radar, Sonar, and Remote Sensing (CoSeRa)

作者： Narendra, N. Chandra, M. Girish Adiga, B. S. Tata Consultancy Serv Innovat Labs Bangalore Karnataka India

ISBN: (纸本)9781479974207

Compressive Sensing (CS) provides a solid theoretical framework for sparse signal recovery. In this work, we concentrate on recovering the foreground object which can be represented as a sparse vector using wavelets. The method revolves around the CS framework by judiciously using the complex field BCH codes and the syndrome as measurements to achieve our goal of robust background subtraction using reduced number of measurements. We propose static as well as adaptive techniques for acquiring the measurements required for recovering the images. The reconstruction, which is carried out by a Complex-field BCH decoder coupled with block based implementation provides elegant computational advantage compared to the conventional CS reconstruction methods. The proposed techniques have been experimentally validated with surveillance video sequences in a thorough manner and the results are summarized.

关键词： BCH codes compressed sensing error correction codes image reconstruction vectors wavelet transforms CS reconstruction methods adaptive techniques background subtraction complex field BCH codes complex-field BCH decoder compressive sensing error correction coding foreground object sparse signal recovery sparse vector surveillance video sequences wavelets Compressed sensing Decoding Encoding error correction codes Image reconstruction Parity check codes Sparse matrices error correction codes Compressed sensing image reconstruction sparse vector BCH codes parity check codes Sparse matrix Signal restoration wavelets Reconstruction algorithm wavelet transforms DEcoding

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