Joint Equalization and Raptor Decoding for Underwater Acoustic Communication

Miao, Ke; Li, Yong; Luo, Xuerong

doi:10.1007/978-3-030-69066-3_12

Cited by 1 publication

(1 citation statement)

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“…A global iteration method using feedback among LDPC and a LT decoder in the raptor code was applied in [ 34 ] to improve the BER performance. The authors proposed a joint equalization and raptor decoding algorithm, which could use the updated information from raptor decoders.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Turbo Codes, LDPC Codes, and Polar Codes over an AWGN Channel in the Presence of Inter Symbol Interference

Cuc

Morgoș

Grava

2023

Sensors

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This paper discusses the results of simulations relating to the performances of turbo codes, low density parity check (LDPC) codes, and polar codes over an additive white Gaussian noise (AWGN) channel in the presence of inter symbol interference, denoting the disturbances that altered the original signal. To eliminate the negative effects of inter symbol interference (ISI), an equalizer was used at the level of the receiver. Practically, two types of equalizers were used: zero forcing (ZF) and minimum mean square error (MMSE), considering the case of perfect channel estimation and the case of estimation using the least square algorithm. The performance measure used was the modification of the bit error rate compared to a given signal to noise ratio; in this sense, the MMSE equalizer offered a higher performance than the ZF equalizer. The aspect of channel equalization considered here is not novel, but there have been very few works that dealt with equalization in the context of the use of turbo codes, especially LDPC codes and polar codes for channel coding. In this respect, this research can be considered a contribution to the field of digital communications.

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Section: Related Workmentioning

confidence: 99%