An Approximated Soft Decoding Algorithm of 16-APSK Signal for DVB-S2

Cho, Kyongkuk; Hyun, Kwangmin; Yoon, Dongweon; Cho, Soobum

doi:10.1109/icce.2007.341443

Cited by 13 publications

(14 citation statements)

References 4 publications

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“…To fully utilize the information contained in the received signal with channel coding, soft de-mapping methods are proposed such as log-MAP and max-log-MAP. Typically, a transmitted symbol S is represented by six bits, b 5 | 309 b i s ð Þ is the ith bit of the symbol and its soft output from the receiver is presented by:…”

Section: Traditional Soft De-mappingmentioning

confidence: 99%

Low‐complexity de‐mapping algorithms for 64‐ APSK signals

Bao

Zhang

et al. 2019

ETRI Journal

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Due to its high spectrum efficiency, 64‐amplitude phase‐shift keying (64‐APSK) is one of the primary technologies used in deep space communications and digital video broadcasting through satellite‐second generation. However, 64‐APSK suffers from considerable computational complexity because of the de‐mapping method that it employs. In this study, a low‐complexity de‐mapping method for (4 + 12 + 20 + 28) 64‐APSK is proposed in which we take full advantage of the symmetric characteristics of each symbol mapping. Moreover, we map the detected symbol to the first quadrant and then divide the region in this first quadrant into several partitions to simplify the formula. Theoretical analysis shows that the proposed method requires no operation of exponents and logarithms and involves only multiplication, addition, subtraction, and judgment. Simulation results validate that the time consumption is dramatically decreased with limited degradation of bit error rate performance.

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Section: Traditional Soft De-mappingmentioning

confidence: 99%

Low‐complexity de‐mapping algorithms for 64‐ APSK signals

Bao

Zhang

et al. 2019

ETRI Journal

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“…To handle with this problem, many efforts have been devoted to focus on reducing the computational complexity. In [3]- [5], the log likelihood ratio(LLR) is calculated by reducing the constellation point, while in [6] and [7] the hard decision threshold value (HDT) was proposed to calculate SDBI for QPSK and 16QAM, respectively.…”

Section: Introductionmentioning

confidence: 99%

An efficient soft de-mapping algorithm for APSK signals

You¹,

Guo²,

Yi³

2016

Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology

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In this paper, we present an efficient soft de-mapping method for M-ary APSK modulation based on hard decision thresholds (HDT), which significantly reduces the computational complexity compared with the maximum likelihood detection (MLD). Furthermore, bit error rate (BER) performance of several soft de-mapping methods combined with LDPC codes are provided. Simulation results reveal that the proposed method largely reduces the computational complexity with nearly the same performance to MLD.

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“…The maximum likelihood (ML) soft demodulation scheme, which exhaustively searches the SDBI with the highest probability, can achieve the maximum performance, but its computational complexity is prohibitively high. A number of soft demodulation schemes with reduced complexity have been proposed . One reduces the search range of the symbols used to compute the ML estimation.…”

Section: Introductionmentioning

confidence: 99%

“…One reduces the search range of the symbols used to compute the ML estimation. For example, the expressions used to obtain the SDBI of the received symbol in the first quadrant are derived up to the 16‐APSK scheme . Then, using the symmetry of the bit to symbol mapping, the SDBI of the received symbols in the other quadrants is calculated using the expressions obtained in the first quadrant.…”

Section: Introductionmentioning

confidence: 99%

Efficient soft demodulation schemes for the DVB-S2X system

Zhang

Kim

2015

Int. J. Satell. Commun. Network.

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In this paper, we propose efficient soft demodulation methods for the 64, 128, and 256 amplitude and phase shift keying schemes defined in the digital video broadcasting via satellite second-generation system. We first derive hard decision threshold (HDT) lines for the constituent bits in a symbol and subsequently present compact equations to estimate the soft bit information. If the HDT line for a constituent bit is a simple continuous line, then the soft bit estimation is performed by simply calculating the distance between the detected symbol and the HDT line. High computational complexity and appreciable performance degradation may occur if HDT lines are too complex. In order to prevent this, we also propose a modified max-log demodulation method that achieves the same performance as the original max-log method but with reduced complexity. Depending on the application, a hybrid method can be utilized by combining the advantages of the HDT and modified max-log methods. The simulation results reveal that the proposed hybrid scheme produces almost the same performance as the original max-log method with greatly reduced computational complexity. Ä min S Wb i .s/D0 kr hsk 2 min S Wb i .s/D1 kr hsk 2 :Although (2) eliminates the computation of the exp. / and log. / operations, the complexity of mink k 2 is still O.2 m /. We here refer to this soft demodulation method as the conventional max method.

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An Approximated Soft Decoding Algorithm of 16-APSK Signal for DVB-S2

Cited by 13 publications

References 4 publications

Low‐complexity de‐mapping algorithms for 64‐ APSK signals

Low‐complexity de‐mapping algorithms for 64‐ APSK signals

An efficient soft de-mapping algorithm for APSK signals

Efficient soft demodulation schemes for the DVB-S2X system

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