A comparative study on channel coding scheme for underwater acoustic communication

Ahmed, Mohammed; Shah, Nor Shahida Mohd; Al‐Aboosi, Yasin Yousif; Ghaleb, Ali Nadhim

doi:10.11591/eei.v12i1.3827

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…Consequently, a profound study of them based on the characteristics of UWA channels is meaningful and promising for improving UWACS performance. However, the noise introduced in the above simulation work was Gaussian white noise or t-distribution noise [108]. To further verify the effectiveness of LDPC and polar codes in UWACSs, the BER performance of the coded BPSK modulation system under real noise was verified.…”

Section: Discussion and Research Directionsmentioning

confidence: 99%

“…To further verify the effectiveness of LDPC and polar codes in UWACSs, the BER performance of the coded BPSK modulation system under real noise was verified. To collect real noise, as depicted in Figure 23 However, the noise introduced in the above simulation work was Gaussian white noise or t-distribution noise [108]. To further verify the effectiveness of LDPC and polar codes in UWACSs, the BER performance of the coded BPSK modulation system under real noise was verified.…”

Section: Discussion and Research Directionsmentioning

confidence: 99%

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Advances and Trends in Channel Codes for Underwater Acoustic Communications

Zhao,

Hao,

Tong

et al. 2023

JMSE

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Due to the simultaneous existence of severe difficulties caused by multi-path, Doppler, and environmental noise caused by underwater acoustic channels, designing a stable and reliable underwater acoustic communication system (UWACS) is a challenging task. In addition to channel estimation and equalization, the technique of channel codes, which is capable of approaching Shannon’s capacity at a low encoding and decoding complexity, offers an efficient and reliable solution to improve the performance of the UWACS and thus draws extensive attention from the research community. By seeking a balance between communication efficiency and channel tolerance via multiple coding rate tuning, it has been recognized that the rate-compatible codes can achieve smooth rate-adaptive transmission under highly diverse underwater acoustic channel states. While there has been a substantial number of investigations on rate-compatible channel codes for the UWACS, in this paper, the research of rate-compatible channel codes has been summarized, reviewed, and compared, mainly focusing on the low-density parity-check (LDPC) and polar codes, which render flexibility in terms of code length and rate. Furthermore, typical research was evaluated and compared from the practical viewpoint of performance under real noise in a shallow water environment. Finally, problems encountered by the LDPC and polar codes for the UWACS were highlighted, and several future research issues were discussed.

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Section: Discussion and Research Directionsmentioning

confidence: 99%

Section: Discussion and Research Directionsmentioning

confidence: 99%

Advances and Trends in Channel Codes for Underwater Acoustic Communications

Zhao,

Hao,

Tong

et al. 2023

JMSE

View full text Add to dashboard Cite

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“…The main step of the channel coding procedure is partitioning the coding into several subsets. There are four common kinds of the channel coding schemes in UWA system including convolutional codes (CC), turbo codes, polar code and low-density parity check (LDPC) code [9]. As shown in Fig.…”

Section: Channel Coding Schemesmentioning

confidence: 99%

“…The channel coding techniques are adopted to reduce the high BER value in the UWA communication for the single carrier and multiple transmission [6]. In addition, several types of channel coding have been adopted to improve the BER performance such as polar code [7], convolution codes [8], turbo codes [9],…”

Section: Introductionmentioning

confidence: 99%

Deep neural network based on polar code for improving the BER performance of the non-Gaussian underwater acoustic communication system

Ahmed,

Jawhar,

Hassib

2023

Preprint

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The neural network is one of the techniques used to enhance the bit error rate performance in communication systems. The wireless communication system usually follows the standard Gaussian distribution, while the noise in underwater acoustic systems usually follows non-Gaussian distribution and leads the system to a high bit error rate value. In this paper, the deep forward neural network has been adopted to improve the bit error rate of the underwater aquatic system based on t-distribution. Furthermore, the parameters of the deep neural network, number of nodes, number of layers, and activation functions have been evaluated to note the behavior of the bit error rate performance of the system. The results show that the bit error rate value of the system declines when increasing the number of nodes and layers in the neural network, while the tanh activation function is a suitable function that can be used to improve the bit error rate performance of the system. Moreover, the complexity and latency pattern of the system increases by boosting the number of nodes and layers of the neural network.

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