Average bit error rate performance analysis of a low-density parity-check-coded orthogonal frequency-division multiplexing FSO system under Málaga distribution considering atmospheric attenuation and pointing errors

2018 ◽  
Vol 57 (19) ◽  
pp. 5505 ◽  
Author(s):  
Mengyi Duan ◽  
Ping Wang ◽  
Xiaoxia Liu ◽  
Yutao Li ◽  
Wenwen Chen ◽  
...  
Keyword(s):  
Bit Error Rate ◽  
Orthogonal Frequency Division Multiplexing ◽  
Low Density ◽  
Rate Performance ◽  
Frequency Division ◽  
Parity Check ◽  
Atmospheric Attenuation ◽  
Pointing Errors ◽  
Low Density Parity Check ◽  
Average Bit Error Rate

scholarly journals BER Performance Analysis of a Concatenated Low Density Parity Check Encoded OFDM System in AWGN and Fading Channels

2009 ◽  
Vol 2 (1) ◽  
pp. 46-53 ◽  
Author(s):  
M. D. Haque ◽  
S. E. Ullah ◽  
M. M. Rahman ◽  
M. Ahmed
Keyword(s):  
Fading Channels ◽  
Bit Error Rate ◽  
Orthogonal Frequency Division Multiplexing ◽  
Color Image ◽  
Low Density ◽  
Frequency Division ◽  
Parity Check ◽  
Ofdm System ◽  
Low Density Parity Check ◽  
Ber Performance

In this paper, we investigate the bit error rate (BER) performance of a concatenated low density parity check (LDPC) encoded orthogonal frequency-division multiplexing (OFDM) system on color image transmission. In FEC concatenated channel coding, the OFDM wireless communication system incorporates 1/2-rated convolution encoder under various digital modulations (QPSK, 8PSK, QAM, 8QAM, 16QAM and 32QAM) over an additative white gaussian noise (AWGN) and other fading (Raleigh and Rician) channels. Computer simulation results on BER demonstrate that the LDPC encoded OFDM system outperforms with QAM modulation technique as compared to other digital modulation scheme and the system is highly effective to combat inherent interferences under Rayleigh and Rician fading channels. The transmitted color image is found to have retrieved effectively under noisy and fading situations with implementation of sum-product algorithm, an effective iterative based LDPC decoding scheme. It has also been anticipated that the performance of the communication system degrades with the increasing of noise power. Keywords: Orthogonal frequency division multiplexing (OFDM); Low density parity check (LDPC); Bit error rate (BER). © 2010 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved. DOI: 10.3329/jsr.v2i1.2724               J. Sci. Res. 2 (1), 46-53 (2010) 

scholarly journals Estimador de canal basado en sensado compresivo y LDPC para OFDM usando SDR

Ingenius ◽  
2019 ◽  
pp. 74-85
Author(s):  
Juan Paúl Inga Ortega ◽  
Anthony Yanza Verdugo ◽  
Christian Pucha Cabrera
Keyword(s):  
Software Defined Radio ◽  
Orthogonal Frequency Division Multiplexing ◽  
Matching Pursuit ◽  
Compressive Sampling ◽  
Frequency Division Multiplexing ◽  
Low Density ◽  
Frequency Division ◽  
Parity Check ◽  
Low Density Parity Check ◽  
Restriction Property

Este trabajo propone la aplicación de un estimador de canal basado en sensado compresivo (CS, del inglés Compressive Sensing) sobre un sistema que usa multiplexación por división de frecuencias ortogonales (OFDM, del inglés Orthogonal Frequency Division Multiplexing) usando dispositivos de radio definido por \emph{software} (SDR, del inglés Software Defined Radio). La aplicación de la teoría de CS se da a través del uso de algoritmos de reconstrucción dispersa como Orthogonal Matching Pursuit (OMP) y Compressive Sampling Matching Pursuit (CoSaMP) con el fin de aprovechar la naturaleza dispersa de las subportadoras piloto usadas en OFDM optimizando el ancho de banda del sistema. Además, para mejorar el rendimiento de estos algoritmos, se utiliza el concepto de la matriz de comprobación de paridad dispersa que se implementa en el despliegue de códigos de comprobación de paridad de baja densidad (LDPC, del inglés Low Density Parity Check) para obtener una matriz de sensado que mejore la propiedad de restricción isométrica (RIP, del inglés Isometric Restriction Property) perteneciente al paradigma de CS. El documento muestra el modelo implementado en los equipos SDR analizando la tasa de error de bit y la cantidad de símbolos piloto usados.

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