scholarly journals Improvement of Channel Coding Gain of Chaos Modulation Using Logistic Maps

Author(s):  
Mamoru Okumura ◽  
Tomoki Kaga ◽  
Eiji Okamoto ◽  
Tetsuya Yamamoto
Keyword(s):  
2018 ◽  
Vol 7 (3.3) ◽  
pp. 107
Author(s):  
Jae Young Chun ◽  
Kee Soo Yeom ◽  
Eon. Gon. Kim

Due to the increasing demand for low power communication in the field of remote control & monitoring, it is necessary to introduce a communication technique to meet the various QoS requirements even in an inferior radio channels. In order to ensure these QoS requirements, we propose a communication technique that applies the channel code, diversity scheme into power-efficient modulation. It makes the radio possible to dramatically improve BER by reducing the uncertainty due to fading channels. A core of proposed communication technique is to maximize the performance gain by adopting diversity technique and channel coding scheme. Diversity gain and channel coding gain further increase the performance difference (gain) between power-efficient modulation and conventional modulation, resulting in a signification BER improvement. By adapting the proposed communication technique it is expected to improve the usability of low-power radio according to the satisfaction of the various QoS requirements.  


2018 ◽  
Vol 7 (2.21) ◽  
pp. 131
Author(s):  
C Padmaja ◽  
B L. Malleswari

The concatenation of channel coding and diversity schemes are essential in the 4G communication systems to improve the reliable data rate transmission. To address Bit Error Rate performance enhancement, the paper presents the coding gain and diversity gain benefits using the proposed CTSTC scheme by adding modified Turbo features and Space Time encoding features. Simulation results of are provided using MATLAB and compared the results with convolutional coded Space Time Coding technique.  


2010 ◽  
Vol 29-32 ◽  
pp. 2680-2685
Author(s):  
Xi Su ◽  
Peng Bai ◽  
Yan Ping Feng ◽  
Yuan Yuan Wu

Adopted by IEEE802.11b standard as the high speed expanding scheme, CCK modulation technology performs well in error probability with high signal noise ratio. However, the CCK system’s error probability soars when SNR is comparably low or the number of users in the same channel increases suddenly. Based on CCK algorithm and convolution code’s structure, this paper analyzed code parameters’ influence on error probability and proposed a channel coding scheme suitable for CCK modulation: convolution code (2,1,7)with 3bit soft decision decoding. Simulation Results demonstrated that system performance is greatly improved when SNR is upon 1.3dB and 2dB’s additional coding gain is attained compared with hard decision decoding.


Transmit Antenna Selection (TAS) technique with Orthogonal Space Time Block Code (OSTBC) addresses the problem of hardware complexity in multiple antenna systems and improves Bit Error Rate (BER) significantly by using various antenna selection algorithms. TAS technique is not able to provide the coding gain. To achieve the coding gain benefits with improvement in BER, it is necessary to concatenate TAS system with an outer code. In literature, it is observed that the concatenation of Forward Error Correction (FEC) codes and Space Time Block Code (STBC) for MIMO systems provides the high coding gain with improved BER. In this paper, a multiple TAS-OSTBC system is proposed with concatenation of channel coding techniques such as BCH and TURBO. The proposed system is concatenated with BCH as outer code in series with TURBO as inner code. This combination provides the capacity benefits of TAS-OSTBC system with improved coding gain. The channel is assumed to be faded by Nakagami- m fading. It is observed that for multiple TAS-OSTBC system this new concatenation of BCH-TURBO code gives improvement of 5 dB at 10-6 as compared to concatenation of TURBO code at m =0.5 for Nakagami- m fading parameter.


Author(s):  
Abdel Halim A. Zikry ◽  
Ashraf Y. Hassan ◽  
Wageda I. Shaban ◽  
Sahar F. Abdel-Momen

Low density parity checking codes (LDPC) are one of the most important issues in coding theory at present. LDPC-code are a type of linear-block LDPC-codes. Channel coding might be considered as the finest conversant and most potent components of cellular communications systems, that was employed for transmitting errors corrections imposed by noise, fading and interfering. LDPC-codes are advanced coding gain, i.e., new area in coding. the performances of LDPC-code are similar to the Shannon-limiting, this led to the usage of decoding in several applications in digital communications systems, like DVB-S2 and WLAN802.1..This paper aims to know what is LDPC,what its application and introduce encoding algorithms that gives rise to a linear encoding time and also show that the regular and irregular LDPC performance and also introduce different methods for decoding LDPC. I discuss in detail LDPC decoding algorithm: bit flipping algorithm, as a type from hard decision .belief propagation algorithm, sum product algorithm and minimum sum algorithm as examples from soft decision .I expect that at least some students or researchers involved in researching LDPC codes would find this paper helpful.


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