A Serial Concatenation of Binary-Input Nonbinary-Output Convolutional Code and Recursive Convolutional Lattice Code
A Serial Concatenation of Binary-Input Nonbinary-Output Convolutional Code and Recursive Convolutional Lattice Code
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二进制输入非二进制输出卷积码和递归卷积格码的串行串联
DOI:
10.1109/access.2018.2831255
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发表时间:
2018
期刊:
影响因子:
3.9
通讯作者:
Ochiai Hideki
中科院分区:
文献类型:
--
作者:
Matsumine Toshiki;Ochiai Hideki
The recently proposed recursive convolutional lattice code (RCLC) can form a signal with pseudo-Gaussian constellations, and their parallel concatenation is shown to approach the Shannon limit. A practical limitation is that its input symbol is limited to L2-ary quadrature amplitude modulation (QAM), which has non-power-of-two constellation points when L is chosen from the odd numbers. Therefore, encoding binary information by the RCLC is not straightforward. Furthermore, the information rate is limited to log2Lbits per complex dimension due to their parallel concatenation. In this paper, we tackle these issues by introducing a serial concatenation of binary-input nonbinary-output convolutional code (CC) and the RCLC, where the outer CC outputs an L-ary symbol that is matched to the input of the inner RCLC. We demonstrate that even with L = 3, the proposed approach can achieve 2 bits per complex dimension and still is able to approach the Shannon limit with lower decoding complexity compared with its parallel concatenation counterpart. As is demonstrated through theoretical analysis, the major practical drawback of the constellation generated by the RCLC is its Gaussian-like distribution, which has large peak-to-average power ratio. Therefore, we further introduce an approach to reduce the signal dynamic range for the proposed system. It is shown that a remarkable gain can be achieved in terms of capacity compared with the conventional QAM signals under the constraint of comparable power amplifier efficiency.
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DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
金 鍾宇;森 信芳;田村由馬;中村貴裕;徐 斌;山越聖子;伊藤 修;上月正博
通讯作者:
上月正博
影响因子:
8.3
作者:
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通讯作者:
Ochiai, Hideki
影响因子:
6.8
作者:
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通讯作者:
W. Tong
影响因子:
8.3
作者:
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通讯作者:
M. Lin
影响因子:
10.4
作者:
M. Tanahashi;H. Ochiai
通讯作者:
M. Tanahashi;H. Ochiai