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Low-Density Parity-Check Coded Direct Sequence Spread Spectrum Receiver Based on Analog Probabilistic Processing

delete2021-07-01
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PRE
AI
X
Xuhui Ding
J
Jianping An
Z
Zhe Zhao
X
Xiangyuan Bu
杨凯 cover
杨凯 (Kai Yang) *
DOI:10.1109/TVT.2021.3084939delete
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Abstract

Abstract

En 中文
Forward error correction (FEC) coding is an indispensable technique in the direct sequence spread spectrum (DS-SS) systems for satellite communication applications. Both the FEC and DS-SS can be regarded as specific cases of probabilistic computing based on analog circuits, which is expected to be a promising solution for power-limited scenarios. The combination of FEC and DS-SS techniques can provide sufficient link margin and robustness for communication systems. In this paper, a probabilistic receiver chain for the Low-Density Parity-Check (LDPC) coded DS-SS system is proposed. Generically, an m-sequence can be regarded as a codeword of cyclic linear codes. Similar to the decoding procedure of LDPC codes, the joint detection and decoding process of m-sequences can be performed by factor graph-based iterative message-passing algorithms (iMPAs). In terms of the iterative signal processing, we first present an improved approach of iterative stopping criterion which can reduce the average number of iteration by 90% for the LDPC decoding approach. Furthermore, a joint detection and decoding method is developed to provide quick synchronization of the m-sequence. Meanwhile, stopping criterion-based iMPAs are especially suitable for analog implementation with low complexity. Finally, cascading to the analog LDPC decoder, the implementation of the m-sequence detector is designed. The prototyping chip is fully integrated into a 035-mu m CMOS technology, which can achieve higher throughput than 3 Gcps with a core chip area of 2.79 mm(2) and power consumption of 6.99 mW for its core circuit. Experimental results demonstrate the effectiveness of our proposed receiver mechanism.
Keywords:
Spread-spectrum communication
LDPC codes
joint detection/decoding
factor graphs (FGs)
analog probabilistic computing
stopping criterion
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Journal

IEEE Transactions on Vehicular Technology cover
IEEE Transactions on Vehicular Technology
IF:
7.1
Papers:
1.8W
Citations:
6.6W

Organization

B
beijing institute of technology
Scholars:
5.4W
Papers: 3.9W
Citations: 63