Unified turbo/LDPC code decoder architecture for deep-space communications

Condo, Carlo; Masera, Guido

doi:10.1109/taes.2014.130384

Cited by 9 publications

(5 citation statements)

References 31 publications

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“…Vector and Parallel Processing Accelerators. Complex digital signal processing algorithms in aerospace applications, such as SAR and iperspectral imaging [6] or channel code decoders [12] and cryptography primitives [21], require significant processing capabilities. Moreover, such applications exhibit intrinsic data parallelism, which can be exploited to increase the throughput and reduce the power consumption.…”

Section: Hardware Acceleratorsmentioning

confidence: 99%

RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project

Fornaciari,

Reghenzani,

Agosta

et al. 2023

Lecture Notes in Computer Science

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Section: Hardware Acceleratorsmentioning

confidence: 99%

RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project

Fornaciari,

Reghenzani,

Agosta

et al. 2023

Lecture Notes in Computer Science

Self Cite

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“…Π and Π −1 denote interleaving and de-interleaving, respectively. When the iteration stopping criterion is satisfied, decoding results can be obtained from λ e (u k ) after the de-interleaved and hard-decision operations [11,13]. The turbo decoding procedure is shown in Figure 1.…”

Section: Turbo Decoding Principlesmentioning

confidence: 99%

“…Considering decoding performance with a medium to high SNR, the range |a − b| can be determined as |a − b| < 9. Therefore, the Nor-Log-MAP algorithm can be rewritten as Equation (13). In the hardware simulation, Equation (13) can be realized by Equation (14) after binary conversion, where max (a, b) × 0.001 can be computed by intercepting the corresponding data based on selected bit width and the number of decimal digits.…”

Section: Max(a B)mentioning

confidence: 99%

Turbo Decoder Design based on an LUT-Normalized Log-MAP Algorithm

Wang

et al. 2019

Entropy

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Turbo codes have been widely used in wireless communication systems due to their good error correction performance. Under time division long term evolution (TD-LTE) of the 3rd generation partnership project (3GPP) wireless communication standard, a Log maximum a posteriori (Log-MAP) decoding algorithm with high complexity is usually approximated as a lookup-table Log-MAP (LUT-Log-MAP) algorithm and Max-Log-MAP algorithm, but these two algorithms have high complexity and high bit error rate, respectively. In this paper, we propose a normalized Log-MAP (Nor-Log-MAP) decoding algorithm in which the function max* is approximated by using a fixed normalized factor multiplied by the max function. Combining a Nor-Log-MAP algorithm with a LUT-Log-MAP algorithm creates a new kind of LUT-Nor-Log-MAP algorithm. Compared with the LUT-Log-MAP algorithm, the decoding performance of the LUT-Nor-Log-MAP algorithm is close to that of the LUT-Log-MAP algorithm. Based on the decoding method of the Nor-Log-MAP algorithm, we also put forward a normalization functional unit (NFU) for a soft-input soft-output (SISO) decoder computing unit. The simulation results show that the LUT-Nor-Log-MAP algorithm can save about 2.1% of logic resources compared with the LUT-Log-MAP algorithm. Compared with the Max-Log-MAP algorithm, the LUT-Nor-Log-MAP algorithm shows a gain of 0.25~0.5 dB in decoding performance. Using the Cyclone IV platform, the designed Turbo decoder can achieve a throughput of 36 Mbit/s under a maximum clock frequency of 44 MHz.

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“…With the development of technology and the improvement in data computing capabilities, a series of advanced coding techniques have been gradually applied in the deep space channel environment. In 1993, Turbo code [6] was proposed as a new concatenated code, and its excellent error correction performance made it widely attractive in the application of deep space communication. In 1998, the superior performance of the LDPC code was rediscovered, showing that LDPC had a bit error performance closer to the Shannon limit [7].…”

Section: Introductionmentioning

confidence: 99%

Research of LT Code Based on Key Information Feedback in Deep Space Communication

et al. 2020

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CCSDS LDPC code cannot effectively solve the problems of communication interruptions and high communication error rates in deep space communication. An application scheme of digital fountain code for deep space communication is thoroughly studied in this paper. First, an improved joint coding and decoding algorithm for LT code is proposed by adjusting the probability of the source symbol selection to achieve a nonuniform selection coding algorithm and by introducing the idea of real-time decoding on the basis of combining the BP and GE decoding algorithms to disperse the decoding complexity. Second, to ensure that the LT code can be reliably transmitted under different channel conditions, a feedback information extraction method and a retransmission coding method are designed, and an LT code transmission scheme based on key information feedback is proposed. Finally, the concatenation of the LDPC code with the LT code based on key information feedback is proposed. The LDPC code processing can be equivalently run on deep-space channels as erasure channels so that the advantage of the LT code being rateless can still be exploited in deep-space communication. Through simulation experiments, the performance of the cascade codes is analyzed from the two aspects of decoding efficiency and decoding overhead, and the performance of the cascade codes and CCSDS LDPC codes are compared from the perspective of the bit error rate. Simulation results show that the decoding efficiency of the cascade code increases, the decoding overhead decreases, and the communication bit error rate is lower in deep space communication compared with the CCSDS LDPC code. Therefore, the cascade code can improve the reliability of deep space communication.

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Unified turbo/LDPC code decoder architecture for deep-space communications

Cited by 9 publications

References 31 publications

RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project

RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project

Turbo Decoder Design based on an LUT-Normalized Log-MAP Algorithm

Research of LT Code Based on Key Information Feedback in Deep Space Communication

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