Easy encoding and low bit‐error‐rate chaos communication system based on reverse‐time chaotic oscillator

2017 ◽  
Vol 11 (7) ◽  
pp. 869-876 ◽  
Author(s):  
Lidong Liu ◽  
Ya Nan Wang ◽  
Lin Hou ◽  
Xiao Ran Feng
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Communication System ◽  
Chaotic Oscillator ◽  
Reverse Time ◽  
Chaos Communication

scholarly journals Performance Evaluation of MRMED Algorithm by Monitoring BER

2021 ◽  
Vol 10 (02) ◽  
Author(s):  
SYED RIZWAN-UL-HASAN ◽  
Muhammad Tahir ◽  
SHAKIL AHMED
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Communication System ◽  
Research Work ◽  
Average Power ◽  
Measurement Tool ◽  
Communication Structure ◽  
Shift Keying ◽  
Code Division Multiple ◽  
Sequence Simulation

In this research work, we have developed a communication system (transmitter / receiver) to control peak to average power (PAPR) with  small bit error rate (BER) for a 4G system called multicode code division multiple access (MCCDMA). Proposed communication system works on modified Reed Muller encoded data (MRMED) string. In MRMED data is first encoded with Reed Muller (RM) code. Thereafter, encoded RM message is XORed with optimal binary string, which results lower Peak to Average Power ratio (PAPR).  A well-known fact is that, bit error rate (BER) is the best performance measurement tool for a communication system. To check the integrity of our communication system, we have run the simulation for monitoring BER using MRMED sequence. Simulation work conducted, with multipath Rayleigh fading, Minimum Shift Keying (MSK) modulation and several orders of RM codes. Our results show that implementing MRMED sequences of the suggested MCCDMA communication structure, returns noticeable lower BER. For instance, in case of RM(1,4), that has error improvement proficiency of 3 (three) errors , returns BER = 8.2x10−5 adopting MSK, at SNR = 12dB. Similarly, for RM(2,3), which has error improvement efficiency of 0  error and shows distinct BER of 4.9x10−4 at  12dB (SNR).In addition to using simulation for checking BER performance of our communication system, we have also shown in our results that, as the error improvement capability of different RM codes surges, correspondingly we get a lower BER.

Quantitative analysis of the stacked autoencoder method in MIMO-ACO-OFDM VLC systems

2020 ◽  
pp. 147715352092620
Author(s):  
LL Hao ◽  
CD Li ◽  
DY Wang
Keyword(s):  
Visible Light ◽  
Bit Error Rate ◽  
Error Rate ◽  
Communication System ◽  
Orthogonal Frequency Division Multiplexing ◽  
Visible Light Communication ◽  
Delay Spread ◽  
Rate Performance ◽  
Stacked Autoencoder ◽  
Minimum Mean Squared Error

In this paper, a stacked autoencoder network is utilised to realise the signal constellation and transceivers adapted to the dimmable indoor visible light communication system in order to acquire lower symbol error probability. Its decoder parts function as denoising and the equaliser for the proposed multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) visible light communication system which can compensate the non-linear transfer function and the crosstalk between multiple LED data streams. The bit error rate performance as well as the influence of LED spatial intervals on root mean square delay spread, impulse response and bit rate have been analysed considering multipath reflections of the indoor MIMO-VLC system. The numerical results show that the a stacked autoencoder technique performs better in bit error rate reduction compared with state-of-art the zero forcing and minimum mean squared error algorithm. The experiment also shows, when the semi-angle at half power of LEDs and the field of view of Photodetectors become small, better performance can be achieved at the centre of the room, which can be explained by strong beam converge and the decreased multipath interference. Moreover, enlarging the separation between LEDs leads to improved bit error rate performance and reduced channel correlation of channel matrix, which need to be optimally chosen in practice.

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