Bit error rate analysis of coded OFDM for digital audio broadcasting system, employing parallel concatenated convolutional turbo codes

Jacob, Naveen; Sripati, U.

doi:10.1109/spices.2015.7091461

Cited by 11 publications

(8 citation statements)

References 13 publications

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“…Convolutional codes have memory, unlike block codes, which provides output using past information bits. If the number of registers is 6, then the constraint length equals to 7 [17,18]. The convolutional encoder consists of a code rate of 1/2, memory of 6, with code generator polynomials 133 and 171 in octal format [17,18].…”

Section: Convolutional Encoder and Viterbi Decodermentioning

confidence: 99%

“…If the number of registers is 6, then the constraint length equals to 7 [17,18]. The convolutional encoder consists of a code rate of 1/2, memory of 6, with code generator polynomials 133 and 171 in octal format [17,18]. The convolutional encoder can improve the accuracy of channel estimation for the receivers in both OFDM-IOTA and CP-OFDM systems.…”

Section: Convolutional Encoder and Viterbi Decodermentioning

confidence: 99%

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Channel Estimation Based on IOTA Filter in OFDM/OQPSK and OFDM/OQAM Systems

2019

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In this paper, we present a study of bit error rate (BER) for orthogonal frequency division multiplexing/offset quadrature phase shift keying (OFDM/OQPSK) and OFDM/offset quadrature amplitude modulation (OQAM) systems with an isotropic orthogonal transfer algorithm (IOTA) filter. The novel noise suppression method based on an IOTA filter is proposed to reduce the error of channel estimation caused by additive white Gaussian noise (AWGN). The OFDM/OQPSK and OFDM/OQAM systems do not insert the guard interval (GI) and pilots in the signal frames, thus they possess transmission efficiency. An analysis was carried out for convolutional coded OFDM/OQPSK and OFDM/OQAM systems in Rayleigh fading channels with generator polynomials and constraint lengths. Compared with conventional OFDM/QPSK and OFDM/QAM systems with the insertion of comb-type pilots, the proposed IOTA filter-based channel estimation method can provide significant energy per bit to time-varying noise power spectral density ratio gains over time and frequency-selective propagation Rayleigh fading channels in OFDM/OQPSK and OFDM/OQAM systems.

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Section: Convolutional Encoder and Viterbi Decodermentioning

confidence: 99%

Section: Convolutional Encoder and Viterbi Decodermentioning

confidence: 99%

Channel Estimation Based on IOTA Filter in OFDM/OQPSK and OFDM/OQAM Systems

2019

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“…This paper uses transmission mode-I for simulation. Table2 shows different transmission modes for DAB with no of subcarriers and spacing between them and length of FFT in OFDM and each transmission mode has different radio frequency which will be useful in many applications such as satellite digital radio [5]. …”

Section: B Dab Transmission Modesmentioning

confidence: 99%

“…The attainment is considered over an AWGN channel. C-OFDM technique is studied using conventional turbo codes is computed and bit error rates (BER) are calculated and analysis is based on a different channel coding parameters [5].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Coded OFDM based Digital Audio Broadcasting System using Concatenated Convolutional Turbo Codes

Nagarjuna¹,

Kandasamy²,

Usharani³

et al. 2017

IJET

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Abstract-Digital Audio Broadcasting (DAB) is an amazing technology, achieving its promise of certainly delivering high quality digital audio in the most vindicate mobile and fixed receiver environments. In this paper, the dissection of Bit Error Rate (BER) for Digital Audio Broadcasting (DAB) process with different channel coding techniques using Coded Orthogonal frequency division multiplexing (C-OFDM) in Matlab-Simulink Environment. The interpretation is carried out for convolution and turbo codes in an Additive White Gaussian Noise Channel (AWGN) depending on code generator polynomials with distinct constraint lengths. Finally, at a certain point the intricacy of the decoder is so high that it becomes tough to execute and also there is no considerable reduction in BER. In addition the coding gain is possible with turbo codes with affordable coding and decoding complexity with reduction in BER. BER for a finest music signal is considered to be 10 -3.5 by using turbo coding, it is approximately achieved with an E b /N o of 7 dB is attained using turbo coding, when distinguish with convolution coding which features high computational complexness.

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“…RADITIONAL ANALOG communication techniques do not perform well in mobile environments because appropriate techniques for reducing the effects of multi-path propagation fading have not been developed [1]. Channel coding, also known as Forward Error Control (FEC) coding, can be defined as the detection and correction of bit errors in digital communication systems.…”

Section: Introductionmentioning

confidence: 99%

Linear Block Coding and Discrete Wavelet Transform Based Audio Signal Transmission over AWGN and Rician Fading Channels

Karagöl

Yıldız²

2019

Balkan Journal of Electrical and Computer Engineering

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Mobile communication has become an important part of our daily lives for voice communication, data sharing and access over the Internet. Mobile communication is an open network, so maintaining the privacy and reliability of data has always been anxiety. The reliability of the data against channel noise can be achieved by various error correction codes. The purpose of the channel coding process is to reduce the effect of some disruptive elements that the data is influenced in the transmission phase as much as possible. This procedure ensures that the data is delivered to the receiver with minimum error. In this study, a communication system was established in MATLAB environment for the transmission of five second audio signal. In this communication system, BER and MSE performances of four phase shift keying methods are obtained first. In the second phase of the study, the AWGN and Rician fading channels were individually coded with four different LBC types. Performance evaluation of these coding types was done with BER and MSE criteria. In the last part of the study, it was investigated which wavelet family is suitable for which level, in order to ensure audio transmission over AWGN and Rician fading channels with the least possible error. Four wavelet transform families at different levels were applied to the audio signal for LBC (7, 4), LBC (15, 8), LBC (17, 8) and LBC (23, 12) encoded channels, and the Mean Squared Error (MSE) performances were compared.

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Bit error rate analysis of coded OFDM for digital audio broadcasting system, employing parallel concatenated convolutional turbo codes

Cited by 11 publications

References 13 publications

Channel Estimation Based on IOTA Filter in OFDM/OQPSK and OFDM/OQAM Systems

Channel Estimation Based on IOTA Filter in OFDM/OQPSK and OFDM/OQAM Systems

Design and Development of Coded OFDM based Digital Audio Broadcasting System using Concatenated Convolutional Turbo Codes

Linear Block Coding and Discrete Wavelet Transform Based Audio Signal Transmission over AWGN and Rician Fading Channels

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