Comparison of communication performance of block coding methods in different channels using DWT

Yıldız, Doğan; Karagöl, Serap

doi:10.1049/iet-com.2019.1114

Cited by 1 publication

(1 citation statement)

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“…The encoder maps the sequence of information into code words by correctly choosing the parity bits. Decoding at the decoder is performed by determining the most likely code words transmitted from the received symbols [34,35]. A block code is linear if the code word component can be written as a linear combination of the information bits 𝑘.…”

Section: Block Codesmentioning

confidence: 99%

Error Correcting Codes Analysis for Wireless Industrial Communication based on Wavelet Packet Architecture.

Chehaitly,

Tabaa,

Borras

et al. 2024

Preprint

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With the evolution of applications, the implementation of processing algorithms has become more difficult due to the requirements in terms of throughput and complexity, which make the existing coding/decoding architectures unsuitable due to their insufficient computing capacity. Our objective in this paper is to analyze/study the integration of error-correcting codes into a functional digital architecture based on the inverse discrete wavelet packet transform (IDWPT) in transmission, and the discrete wavelet packet transform (DWPT) in reception (known as discrete wavelet packet modulation). In our proposed architecture, we have exploited two transmission strategies: (i) one-to-many (OtM) for transmission between a single transmitter and multiple sensors, (ii) and a many-to-one (MtO) mode for transmission between multiple users and a single receiver. To improve the transmission quality with the same configuration, we have integrated corrective codes, in particular the different families of Reed Solomon and convolutional codes. This architecture offers a very high processing power and a versatility in terms of flexibility and configurability adapted to very noisy environments, especially industrial ones. The use of error-correcting codes improves the quality of the transmission compared to the state of the art. Where we have achieved a gain of 4 to 6dB for Reed Solomon coding and convolutional codes used individually, 5 to 10dB with the combination of these two codes and 2 to 4dB more for shortened Reed Solomon codes.

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Section: Block Codesmentioning

confidence: 99%