基于组合索引与欧氏距离相结合的OFDM-IM可见光通信系统研究

赵黎; 何欢洁; 孟祥艳; 王宁

doi:10.11999/JEIT220112

基于组合索引与欧氏距离相结合的OFDM-IM可见光通信系统研究

doi: 10.11999/JEIT220112

西安工业大学电子信息工程学院西安 710021

基金项目: 国家自然科学基金(12004292)，陕西省科技厅一般项目-工业领域(2022GY-072)，西安市科技计划项目(2020KJRC0040)

详细信息

作者简介:
赵黎：女，1981年生，博士，教授，硕士生导师，研究方向为无线光通信关键技术

何欢洁：女，1997年生，硕士生，研究方向为无线光通信关键技术

孟祥艳：女，1980年生，博士，研究方向为可见光定位关键技术

王宁：男，1998年生，硕士生，研究方向为无线光通信关键技术

通讯作者:
何欢洁　hhj0523@163.com

中图分类号: TN929.1
计量
- 文章访问数: 358
- HTML全文浏览量: 172
- PDF下载量: 66
- 被引次数: 0
出版历程
- 收稿日期: 2022-01-27
- 修回日期: 2022-05-12
- 录用日期: 2022-06-08
- 网络出版日期: 2022-06-10
- 刊出日期: 2022-08-17

Research on OFDM-IM Visible Light Communication System Based on Combination Index and Euclidean Distance

School of Electronics and Information Engineering, Xi’an Technological University, Xi’an 710021, China

Funds: The National Natural Science Foundation of China (12004292), The General Project of Science and Technology Department of Shaanxi Province – Industry (2022GY-072), Xi’an Science and Technology Planning Project (2020KJRC0040)

摘要

摘要: 直流偏置光正交频分复用系统(DCO-OFDM)存在较高的峰均比(PAPR)、易受多径干扰和噪声频偏等影响。因此该文将载波索引调制(IM)引入DCO-OFDM中，提出适合可见光通信(VLC)的DCO-OFDM-IM调制方案。该方案采用基于组合索引与欧氏距离相结合的信号映射约束模型对子载波进行分块组合索引，不仅可在信号域使用传统星座调制传递信息，还可通过频率域利用载波索引额外携带信息，有效改善了系统峰均比及误码率性能。推导了DCO-OFDM-IM系统的理论误码率(BER)，利用蒙特卡罗方法对其进行仿真验证。结果表明：相对传统DCO-OFDM系统，当子载波数为256，调制阶数为4，系统误码率为10^–3时，DCO-OFDM-IM系统所需信噪比平均改善了约2 dB；当误码率为10^–3时，采用组合索引与欧氏距离相结合的算法较随机选取载波组合系统所需信噪比平均改善约2 dB；当系统互补累计分布函数(CCDF)为10^–1时，DCO-OFDM-IM原始信号峰均比比DCO-OFDM下降了约2.4 dB。
- 可见光通信 /
- 正交频分复用 /
- 索引调制 /
- 误码率 /
- 峰均比
Abstract: DC-bias Optical-Orthogonal Frequency Division Multiplexing (DCO-OFDM) has a high Peak-to-Average Power Ratio (PAPR) and is susceptible to multipath interference and noise frequency bias. To address this challenge, carrier Index Modulation (IM) is introduced into DCO-OFDM and a DCO-OFDM-IM modulation scheme suitable for visible light communication is proposed. In this scheme, the signal mapping constraint model bases on the combination of composite index and Euclidian distance is used to perform block composite index of subcarriers, which can not only transfer information using traditional constellation modulation in the signal domain, but also carry additional information through the carrier index in the frequency domain, which improves effectively the system peak to average ratio and bit error rate performance. The theoretical bit error rate of DCO-OFDM-IM system is derived and verified by monte Carlo method. The results show that compared with traditional DCO-OFDM system, when the number of subcarriers is 256, the modulation order is 4, and the system bit error rate is 10^–3, the required Signal-to-Noise Ratio (SNR) of DCO-OFDM-IM system is improved by about 2 dB on average. When the BER is 10^–3, the required SNR of the combined index and Euclidian distance algorithm improved by 2 dB on average compared with the random carrier combination system. When the system Complementary Cumulative Distribution Function (CCDF) is 10^–1, the average ratio of the original signal peaks of DCO-OFDM-IM is decreased by about 2.4 dB compared with that of DCO-OFDM.
- Visible Light Communication (VLC) /
- Orthogonal Frequency Division Multiplexing (OFDM) /
- Index Modulation (IM) /
- Bit Error Rate (BER) /
- Peak-to-Average Power Ratio (PAPR)

HTML全文

图 1 DCO-OFDM-IM模型

下载: 全尺寸图片幻灯片

图 2 OFDM和OFDM-IM在不同调制阶数理论误码率和仿真误码率

下载: 全尺寸图片幻灯片

图 3 不同组合数下DCO-OFDM-IM系统误码率

下载: 全尺寸图片幻灯片

图 4 OFDM和OFDM-IM系统峰均功率比性能

下载: 全尺寸图片幻灯片

表 1 基于最大化最小欧氏距离算法的OFDM-IM映射表

索引序号	索引比特	索引序列	信号子块
1	$ \left[ {0,0} \right] $	$ \left[ {1,2} \right] $	$ {\left[ {{X_i},{X_j},0,0} \right]^{\text{T}}} $
2	$ \left[ {0,1} \right] $	$ \left[ {1,3} \right] $	$ {\left[ {{X_i},0,{X_j},0} \right]^{\text{T}}} $
3	$ \left[ {1,0} \right] $	$ \left[ {1,4} \right] $	$ {\left[ {{X_i},0,0,{X_j}} \right]^{\text{T}}} $
4	$ \left[ {1,1} \right] $	$ \left[ {2,4} \right] $	$ {\left[ {0,{X_i},0,{X_j}} \right]^{\text{T}}} $
未用		$ \left[ {3,4} \right] $ $ \left[ {2,3} \right] $

下载: 导出CSV

表 2 系统频谱效率对比与运行时间对比

系统	时间(s)	调制阶数	信噪比(dB)	频谱效率(bps/Hz)
OFDM	0.106	BPSK	22	0.5
	0.11	QPSK	25	1
	0.121	8PSK	29	1.5
(4,2)-OFDM-IM	0.081	BPSK	18	0.5
	0.085	QPSK	23	0.75
	0.097	8PSK	26	1.75
(2,1)-OFDM-IM	0.04	QPSK	20	0.75
(4,1)-OFDM-IM	0.062	QPSK	16	0.5
(8,1)-OFDM-IM	0.107	QPSK	14	0.3125
(8,7)-OFDM-IM	0.118	QPSK	24	1.0625

下载: 导出CSV

参考文献(15)

[1]	CHUN H, RAJBHANDARI S, FAULKNER G, et al. Optimum device and modulation scheme selection for optical wireless communications[J]. Journal of Lightwave Technology, 2021, 39(8): 2281–2287. doi: 10.1109/JLT.2021.3051379
[2]	叶新荣, 朱卫平, 张爱清, 等. OFDM系统双选择性慢衰落信道的压缩感知估计[J]. 电子与信息学报, 2015, 37(1): 169–174. doi: 10.11999/JEIT140247 YE Xinrong, ZHU Weiping, ZHANG Aiqing, et al. Compressed sensing based on doubly-selective slow-fading channel estimation in OFDM systems[J]. Journal of Electronics &Information Technology, 2015, 37(1): 169–174. doi: 10.11999/JEIT140247
[3]	邵凯, 金庚, 王光宇, 等. 排列模式索引调制正交频分复用系统[J]. 电子与信息学报, 2021, 43(9): 2640–2646. doi: 10.11999/JEIT200248 SHAO Kai, JIN Geng, WANG Guangyu, et al. Permutation-mode orthogonal frequency division multiplexing system with index modulation[J]. Journal of Electronics &Information Technology, 2021, 43(9): 2640–2646. doi: 10.11999/JEIT200248
[4]	彭聪, 许鹏, 陈翔, 等. MIMO-OFDM系统中各天线独立相位噪声的影响[J]. 电子与信息学报, 2017, 39(12): 2999–3003. doi: 10.11999/JEIT170260 PENG Cong, XU Peng, CHEN Xiang, et al. Influence of independent phase noises on MIMO-OFDM systems[J]. Journal of Electronics &Information Technology, 2017, 39(12): 2999–3003. doi: 10.11999/JEIT170260
[5]	JIANG Tao, TANG Ming, LIN Rui, et al. Investigation of DC-biased optical OFDM with precoding matrix for visible light communications: Theory, simulations, and experiments[J]. IEEE Photonics Journal, 2018, 10(5): 1–16. doi: 10.1109/JPHOT.2018.2866952
[6]	HUSSEIN H S and HAGAG M. Optical MIMO-OFDM with fully generalized index-spatial LED modulation[J]. IEEE Communications Letters, 2019, 23(9): 1556–1559. doi: 10.1109/LCOMM.2019.2926457
[7]	左家骏, 杨瑞娟, 李晓柏, 等. 基于索引调制OFDM雷达通信共享信号压缩感知方法研究[J]. 电子与信息学报, 2020, 42(12): 2976–2983. doi: 10.11999/JEIT190740 ZUO Jiajun, YANG Ruijuan, LI Xiaobai, et al. A compressed sensing method for joint radar and communication system based on OFDM-IM signal[J]. Journal of Electronics &Information Technology, 2020, 42(12): 2976–2983. doi: 10.11999/JEIT190740
[8]	葛利嘉, 江治林, 冯胜, 等. 非正交-码索引调制方法[J]. 电子与信息学报, 2018, 40(10): 2331–2336. doi: 10.11999/JEIT180023 GE Lijia, JIANG Zhilin, FENG Sheng, et al. Non-orthogonal-code index modulation[J]. Journal of Electronics &Information Technology, 2018, 40(10): 2331–2336. doi: 10.11999/JEIT180023
[9]	VAN LUONG T and KO Y. Spread OFDM-IM with precoding matrix and low-complexity detection designs[J]. IEEE Transactions on Vehicular Technology, 2018, 67(12): 11619–11626. doi: 10.1109/TVT.2018.2872873
[10]	NTOUN G D, KAPINAS V M, and KARAGIANNIDIS G K. On the optimal tone spacing for interference mitigation in OFDM-IM systems[J]. IEEE Communications Letters, 2017, 21(5): 1019–1022. doi: 10.1109/LCOMM.2017.2660479
[11]	KIM K H. PAPR reduction in OFDM-IM using multilevel dither signals[J]. IEEE Communications Letters, 2019, 23(2): 258–261. doi: 10.1109/LCOMM.2019.2892103
[12]	TUSHA A, DOĞAN S, and ARSLAN H. IQI mitigation for narrowband IoT systems with OFDM-IM[J]. IEEE Access, 2018, 6: 44626–44634. doi: 10.1109/ACCESS.2018.2864892J
[13]	LI Jun, DANG Shuping, WEN Miaowen, et al. Layered orthogonal frequency division multiplexing with index modulation[J]. IEEE Systems Journal, 2019, 13(4): 3793–3802. doi: 10.1109/JSYST.2019.2918068
[14]	QING Hua, YU Hua, LIU Yun, et al. Distributed cooperative OFDM-IM system[J]. China Communications, 2020, 17(9): 167–176. doi: 10.23919/JCC.2020.09.013
[15]	赵辉, 莫谨荣, 王薇, 等. OFDM系统中基于压缩感知的非线性失真恢复研究[J]. 电子与信息学报, 2021, 43(7): 1907–1912. doi: 10.11999/JEIT20037 ZHAO Hui, MO Jinrong, WANG Wei, et al. Research on nonlinear distortion recovery based on compressed sensing in OFDM system[J]. Journal of Electronics &Information Technology, 2021, 43(7): 1907–1912. doi: 10.11999/JEIT20037