Channel Coding for IDM: High-Rate Convolutional Code Concatenated with Irregular Repetition Code

2011 ◽  
Author(s):  
M. Noemm ◽  
Najeeb ul Hassan ◽  
P. A. Hoeher ◽  
Yi Wang
Keyword(s):  
Channel Coding ◽  
Convolutional Code ◽  
High Rate ◽  
Repetition Code

Atmospheric Laser Communication Receives a High Rate of Laser Technology

2014 ◽  
Vol 912-914 ◽  
pp. 585-588
Author(s):  
Quan Liu ◽  
Xu Yang ◽  
Yi Feng Zhu
Keyword(s):  
Channel Coding ◽  
Detection Method ◽  
High Rate ◽  
Laser Communication ◽  
Transmission Channel ◽  
Laser Technology ◽  
Coding Scheme ◽  
Rs Code ◽  
Atmospheric Channel ◽  
Channel Environment

This paper mainly discusses laser receiver technology at atmospheric channel high-rate environmentThesis analyzes the influencing factors of atmospheric laser transmission channel, Discussed the composition of the laser receiving system to study the floating threshold signal detection method of the laser, Study interleaved RS code + code to achieve channel coding scheme, the final results of the tests are given under the channel environment is a high rate of atmospheric laser receiving system.

WATERMARKING ON COMPRESSED DATA INTEGRATING CONVOLUTION CODING IN INTEGER WAVELETS

2012 ◽  
Vol 10 (06) ◽  
pp. 1250051 ◽  
Author(s):  
SANTI P. MAITY ◽  
CLAUDE DELPHA ◽  
RÉMY BOYER
Keyword(s):  
Channel Coding ◽  
Additive White Gaussian Noise ◽  
Mathematical Structure ◽  
Noise Power ◽  
Repetition Code ◽  
Channel Codes ◽  
Watermark Embedding ◽  
Combined Use ◽  
Integer Wavelet ◽  
Compressed Data

This paper explores the scope of integer wavelets in watermarking on compressed image with the aid of convolution coding as channel coding. Convolution coding is applied on compressed host data, instead of its direct application on watermark signal as used widely for robustness improvement in conventional system. Two-fold advantages, namely flexibility in watermarking through the creation of redundancy on the compressed data as well as protection of watermark information from additive white Gaussian noise (AWGN) attack are achieved. Integer wavelet is used to decompose the encoded compressed data that leads to lossless processing and creation of correlation among the host samples due to its mathematical structure. Watermark information is then embedded using dither modulation (DM)-based quantization index modulation (QIM). The relative gain in imperceptibility and robustness performance are reported for direct watermark embedding on entropy decoded host, using repetition code, convolution code, and finally the combined use of channel codes and integer wavelets. Simulation results show that 6.24 dB (9.50 dB) improvement in document-to-watermark ratio (DWR) at watermark power 12.73 dB (16.81 dB) and 15 dB gain in noise power for watermark decoding at bit error rate (BER) of 10-2 are achieved, respectively over direct watermarking on entropy decoded data.

scholarly journals Continuous phase modulation with 1-bit quantization and oversampling using iterative detection and decoding

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Rodrigo R. M. de Alencar ◽  
Lukas T. N. Landau ◽  
Rodrigo C. de Lamare
Keyword(s):  
Channel Coding ◽  
Phase Modulation ◽  
Convolutional Code ◽  
Continuous Phase ◽  
Continuous Phase Modulation ◽  
Achievable Rate ◽  
Iterative Detection ◽  
The Third ◽  
Iterative Detection And Decoding ◽  
Bit Mapping

AbstractA channel with continuous phase modulation and 1-bit ADC with oversampling is considered. Due to oversampling, higher-order modulations yield a higher achievable rate and this study presents methods to approach this with sophisticated channel coding. Iterative detection and decoding is considered, which exploits the soft information extracted from oversampled CPM sequences. Besides the strategy based on conventional channel coding techniques, a tailored bit mapping is proposed where two bits can be detected reliably at high SNR and only the third bit is affected by the uncertainties from the coarse quantization. With this, a convolutional code is only applied to the third bit. Our experiments with a turbo receiver show that the iterative detection and decoding is a promising approach for exploiting the additional information brought by oversampling. Moreover, it is shown that the proposed method based on the tailored bit mapping corresponds to a lower bit error rate in comparison with the case of conventional channel coding.

scholarly journals An Implementation of Error Minimization Data Transmission in OFDM using Modified Convolutional Code

2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Hendy Briantoro ◽  
I Gede Puja Astawa ◽  
Amang Sudarsono
Keyword(s):  
Data Transmission ◽  
Channel Coding ◽  
Convolutional Code ◽  
Software Radio ◽  
Code Rate ◽  
Bch Code ◽  
Error Minimization ◽  
Ofdm System ◽  
Software Define Radio ◽  
Better Than

This paper presents about error minimization in OFDM system. In conventional system, usually using channel coding such as BCH Code or Convolutional Code. But, performance BCH Code or Convolutional Code is not good in implementation of OFDM System. Error bits of OFDM system without channel coding is 5.77%. Then, we used convolutional code with code rate 1/2, it can reduce error bitsonly up to 3.85%. So, we proposed OFDM system with Modified Convolutional Code. In this implementation, we used Software Define Radio (SDR), namely Universal Software Radio Peripheral (USRP) NI 2920 as the transmitter and receiver. The result of OFDM system using Modified Convolutional Code with code rate is able recover all character received so can decrease until 0% error bit. Increasing performance of Modified Convolutional Code is about 1 dB in BER of 10-4 from BCH Code and Convolutional Code. So, performance of Modified Convolutional better than BCH Code or Convolutional Code.Keywords: OFDM, BCH Code, Convolutional Code, Modified Convolutional Code, SDR, USRP

scholarly journals Performance comparison of channel coding schemes for 5G massive machine type communications

2021 ◽  
Vol 22 (2) ◽  
pp. 902
Author(s):  
Salima Belhadj ◽  
Abdelmounaim Moulay Lakhdar ◽  
Ridha Ilyas Bendjillali
Keyword(s):  
Error Rate ◽  
Channel Coding ◽  
Convolutional Code ◽  
Turbo Code ◽  
Low Complexity ◽  
Performance Comparison ◽  
Machine Type ◽  
Coding Schemes ◽  
Fifth Generation ◽  
Information Block

<p><span>Channel coding for the fifth generation (5G) mobile communication is currently facing new challenges as it needs to uphold diverse emerging applications and scenarios. Massive machine-type communication (mMTC) constitute one of the main usage scenarios in 5G systems, which promise to provide low data rate services to a large number of low power and low complexity devices. Research on efficient coding schemes for such use case is still ongoing and no decision has been made yet. Therefore, This paper compares the performance of different coding schemes, namely: tail-biting convolutional code (TBCC), low density parity check codes (LDPC), Turbo code and Polar codes, in order to select the appropriate channel coding technique for 5G-mMTC scenario. The considered codes are evaluated in terms of bit error rate (BER) and block error rate (BLER) for short information block lengths (K ≤ 256). We further investigate their Algorithmic complexity in terms of the number of basic operations. The Simulation results indicate that polar code with CRC-aided successive cancelation list decoder has better performance compared with other coding schemes for 5G-mMTC scenario.</span></p>

scholarly journals On the Error Performance of Coding and Equalization in Low-Complexity Ultra-Wideband Communication Systems

2017 ◽  
Vol 2 (3) ◽  
pp. 245
Author(s):  
Robert H. Morelos-Zaragoza
Keyword(s):  
Channel Coding ◽  
Communication Systems ◽  
Convolutional Code ◽  
Ldpc Code ◽  
Similar Rate ◽  
Decision Feedback ◽  
Ultra Wideband ◽  
Indoor Environments ◽  
Error Performance ◽  
Coding Schemes

In this paper, the performance of various channel coding schemes is investigated in pulse-based ultra-wideband(UWB) communication systems for applications in short-range indoor environments. Pulse-based binary (BPSK) modulation and decision-feedback equalization (DFE) is considered. Concatenated adaptive equalization and coding is explored as an alternative to the more complex and often impractical joint coding and equalization. A block length of approximately 1000 bits is considered in this paper as it results in a static channel with minimal latency while still yielding relatively good error performance. The error performance of a previously proposed turbo product code (TPC), based on two identical Hamming (31,26) codes, is simulated and compared with that of otherchannel coding schemes of similar rate and code length. These include a regular LDPC (1057,813) code, a memory-6 rate-3/4 punctured convolutional code, a Reed-Solomon (127,89) code and a concatenated (off-the-shelf) code with a Reed-Solomon (255,239) outer code and a memory-6 rate-3/4 punctured convolutional inner code. The inclusion of the concatenated Reed-Solomon scheme serves as a reference, as this is an off-the-shelf classical and still popular solution. The simulation results show that, among the coding schemes considered, the LDPC code offers the best error performance.

scholarly journals Analisis Kinerja FBMC OQAM menggunakan Kode Konvolusi

2021 ◽  
Vol 9 (4) ◽  
pp. 775
Author(s):  
MIFTAKHUDIN YUSUF ◽  
ANGGUN FITRIAN ISNAWATI ◽  
SOLICHAH LARASATI
Keyword(s):  
Channel Capacity ◽  
Channel Coding ◽  
Viterbi Algorithm ◽  
Convolutional Code ◽  
Bit Rate ◽  
Digital Modulation ◽  
Data Rates ◽  
Better Than

ABSTRAKSistem FBMC merupakan teknologi MCM yang dapat menyediakan laju data bit yang tinggi. Modulasi digital OQAM digunakan untuk meningkatkan bit rate. Pengkodean kanal digunakan untuk mengoreksi kesalahan yang diakibatkan noise. Penilitian ini menggunakan pengkodean kanal kode konvolusi yang digunakan pada bagian pengirim dan algortima viterbi pada bagian penerima. Simulasi dilakukan pada FBMC OQAM dengan kode konvolusi dan tanpa kode konvolusi dengan perbandingan parameter BER dan kapasitas kanal terhadap SNR. Hasil penelitian menunjukan FBMC OQAM dengan kode konvolusi lebih baik daripada FBMC OQAM tanpa kode konvolusi pada SNR tinggi. Pada FBMC OQAM untuk mencapai BER 10-3 membutuhkan SNR 17 dB sedangkan pada FBMC OQAM dengan kode konvolusi membutuhkan SNR 16 dB. Peningkatan SNR dapat meningkatkan kapasitas kanal yang dihasilkan, pada SNR 0 dB menghasilkan 0,4535 bps/Hz dan SNR 20 dB menghasilkan 5,858 bps/Hz.Kata kunci: kode konvolusi, algoritma viterbi, FBMC, OQAM, BER ABSTRACTThe FBMC system is an MCM technology that can provide high bit data rates. OQAM digital modulation is used to increase the bit rate. Channel coding is used to correct errors caused by noise. This research uses convolutional code channel coding used on the sender and viterbi algorithms on the receiver. Simulations are carried out on FBMC OQAM with convolutional code and without convolutional code with a comparison of BER parameters and channel capacity to SNR. The results showed that FBMC OQAM with convolutional code was better than FBMC OQAM without convolutional code at high SNR. In FBMC OQAM to reach BER 10-3 requires SNR of 17 dB while in FBMC OQAM with convolutional code requires SNR of 16 dB. Increasing SNR can increase the resulting channel capacity, at 0 dB SNR it produces 0.4535 bps / Hz and SNR 20 dB produces 5.858 bps / Hz.Keywords: convolutional code, viterbi algorithm, FBMC, OQAM, BER

scholarly journals Performance of Different Concatenated Coding Schemes for CDMA System

2018 ◽  
Vol 24 (12) ◽  
pp. 60-72
Author(s):  
Zainab Majeed Abid
Keyword(s):  
Channel Coding ◽  
Fading Channel ◽  
Convolutional Code ◽  
Signal To Noise Ratio ◽  
Multipath Fading ◽  
Cdma System ◽  
Concatenated Coding ◽  
Multipath Fading Channel ◽  
Outer Code ◽  
Serially Concatenated

In this paper different channel coding and interleaving schemes in DS/CDMA system over multipath fading channel were used. Two types of serially concatenated coding were presented. The first one composed of Reed-Solomon as outer code, convolutional code as inner code and the interleaver between the outer and inner codes and the second consist of convolutional code as outer code, interleaved in the middle and differential code as an inner code. Bit error rate performance of different schemes in multipath fading channel was analyzed and compared. Rack receiver was used in DS/CDMA receiver to combine multipath components in order to enhance the signal to noise ratio at the receiver.  

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