Turbo decoding in impulsive noise environment

Daisuke, Umehara; Yamaguchi, Hiroe; Morihiro, Yoshifumi

doi:10.1109/glocom.2004.1377938

Cited by 78 publications

(56 citation statements)

References 8 publications

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“…For instance, convolutional coding is applied in [11], turbo coding in [12], and low density parity-check coding in [13]. For more details, readers can refer to Chapter 5 in [14] and the references therein.…”

Section: A Related Workmentioning

confidence: 99%

Robust Decoding for Convolutionally Coded Systems Impaired by Memoryless Impulsive Noise

Tseng

Han

Mow

et al. 2013

IEEE Trans. Commun.

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It has been known that communication systems are susceptible to strong impulsive noises. To combat this, convolutional coding has long served as a cost-effective tool in the context of moderately frequent occurrence of memoryless impulses with given statistics. Nevertheless, the impulsive noise statistics is hard to be accurately modeled and is generally not time-invariant, making the respective system design challenging. In this article, in the absence of full knowledge of the probability density function (PDF) of impulsive noises, we devise an efficient decoding scheme for single-carrier narrowband communication systems by incorporating a design parameter into the recently introduced joint erasure marking and This is the Pre-Published Version 2 Viterbi decoding algorithm, dubbed the metric erasure Viterbi algorithm (MEVA). The proposed scheme is equivalent to incorporating a well-designed clipping operation into the Viterbi algorithm, of which the clipping threshold has to be appropriately set. In contrast with existing publications that often resort to extensive simulations, we characterize the bit error probability performance associated with the clipping threshold by deriving its Chernoff bound. Simulation results reveal that with a judicious selection of the clipping threshold, the MEVA can be on par with its optimal maximum-likelihood decoding counterpart under fairly general circumstances.

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Section: A Related Workmentioning

confidence: 99%

Robust Decoding for Convolutionally Coded Systems Impaired by Memoryless Impulsive Noise

Tseng

Han

Mow

et al. 2013

IEEE Trans. Commun.

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“…In order to solve this issue, the decoders must be designed to provide optimized performance in non-Gaussian environments. Recently, authors in [10], [11] provided preliminary results for the performance analysis of turbo and LDPC codes over power line channels by modeling the noise component as MAWCAIN [12], [13]. The work presented in [10] and [11] is novel since it is the only known attempt to discuss the performance of turbo and LDPC codes in MAWCAIN environments, despite the existence of an in depth analysis of optimum or sub-optimum receivers for coherent detection in MAWCAIN [14].…”

Section: N Various Communication Environments the Gaussian Noisementioning

confidence: 99%

“…This LLR gives the soft channel output L(x) in terms of three quantities a priori values L(x), extrinsic information L e (x) and the channel reliability based on the received channel output y, L c (y) [20]. As mentioned in [10] the turbo decoder over MAWCAIN can be obtained by only adjusting the channel reliability expression according to the impulsive noise channel.…”

Section: Turbo Decodermentioning

confidence: 99%

“…Other than this, since the MAWCAIN channel consists of an infinite series the above equation is too cumbersome to compute. A simple rule as suggested by [10] is to truncate the series to m = 0, 1, ..., L where, L = max{2, 10A }. A basic interpretation of the above rule is that for small index values of m only the first few terms in the summation are significant due to A m /m!.…”

Section: B Channel Reliability For the Mawcain Channelmentioning

confidence: 99%

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Performance analysis of turbo codes over Rician fading channels with impulsive noise

Ali

Ince

2007

2007 IEEE International Conference on Telecommunications and Malaysia International Conference on Communications

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Abstract-The statistical characteristics of impulsive noise differ greatly from those of Gaussian noise. Hence, the performance of conventional decoders, optimized for additive white Gaussian noise (AWGN) channels is not promising in non-Gaussian environments. In order to achieve improved performance in impulsive environments the decoder structure needs to be modified in accordance with the impulsive noise model. This paper provides performance analysis of turbo codes over fully interleaved Rician fading channels with Middleton's additive white Class-A impulsive noise (MAWCAIN). Simulation results for the memoryless Rician fading channels using coherent BPSK signaling for both the cases of ideal channel state information (ICSI) and no channel state information (NCSI) at the decoder are provided. An eight state turbo encoder having (1, 13/15, 13/15) generator polynomial is used throughout the analysis. The novelty of this work lies in the fact that this is an initial attempt to provide a detailed analysis of turbo codes over Rician fading channels with impulsive noise rather than AWGN.Index Terms-Channel reliability, ideal channel state information, Middleton's additive white Class-A impulsive noise channel, no channel state information, Rician fading channel, turbo codes.

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“…Employing error-correction codes with the PLC system is an effective method to enhance bit-error rate (BER) performance. As seen in [2]- [5], the authors employed different coding schemes and compared the performance of coded PLC systems with uncoded PLC systems and showed a significant gain over uncoded PLC systems. However, these results did not consider the multipath present in the powerline channel.…”

Section: Introductionmentioning

confidence: 99%

Non-binary turbo-coded OFDM-PLC system in the presence of impulsive noise

Abd-Alaziz

Mei

Johnston

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-The power-line communication (PLC) channel causes information-bearing signals to be affected by impulsive noise and the effects of the multipath fading. To mitigate these effects, we propose the employment of non-binary turbo codes, since non-binary error-correcting codes generally promise an enhanced performance in such harsh environments. In this paper, we investigate the performance of non-binary turbo-codes on PLC channels that exhibit frequency selectivity with additive Middleton Class A noise and compare with a comparable binary turbo-coded PLC system. In order to reduce the effect of multipath and impulsive noise, orthogonal frequency-division multiplexing (OFDM) with non-linear receivers (blanking and clipping) have been employed. The system is examined on extremely impulsive channels where the value of the impulsive index (A) is 0.01 and the noise ratio (Γ) is 0.01. The results show that non-binary turbo codes are very robust and achieve a large gain over binary turbo codes on PLC channels.

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Turbo decoding in impulsive noise environment

Cited by 78 publications

References 8 publications

Robust Decoding for Convolutionally Coded Systems Impaired by Memoryless Impulsive Noise

Robust Decoding for Convolutionally Coded Systems Impaired by Memoryless Impulsive Noise

Performance analysis of turbo codes over Rician fading channels with impulsive noise

Non-binary turbo-coded OFDM-PLC system in the presence of impulsive noise

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