基于非理想信道状态信息的高通量卫星预编码算法

doi:10.11959/j.issn.2096-8930.2023008

天地一体化信息网络 ›› 2023, Vol. 4 ›› Issue (1): 66-72.doi: 10.11959/j.issn.2096-8930.2023008

基于非理想信道状态信息的高通量卫星预编码算法

窦映喆, 薛冠昌, 杨明川

哈尔滨工业大学电子与信息工程学院，黑龙江哈尔滨 150006

修回日期:2023-01-25 出版日期:2023-03-20 发布日期:2023-03-01
作者简介:窦映喆（1998-），男，哈尔滨工业大学硕士生，主要研究方向为星地融合网络、高通量卫星预编码、同频干扰消除
薛冠昌（1998-），男，哈尔滨工业大学博士生，主要研究方向为卫星通信、星地一体化网络技术
杨明川（1977-），男，哈尔滨工业大学电子与信息工程学院副研究员，博士生导师，主要研究方向为卫星移动通信系统、高空平台站通信系统、深空通信及空天地一体化信息网络
基金资助:
国家自然科学基金面上项目(62071146);国家自然科学基金面上项目(62171151);中央高校基本科研业务费专项资金(HIT.OCEF.2021012)

High-Throughput Satellite Precoding Algorithm Based on Non-Ideal Channel State Information

Yingzhe DOU, Guanchang XUE, Mingchuan YANG

School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150006, China

Revised:2023-01-25 Online:2023-03-20 Published:2023-03-01
Supported by:
The National Natural Science Foundation of China(62071146);The National Natural Science Foundation of China(62171151);Fundamental Research Funds for the Central Universities(HIT.OCEF.2021012)

摘要/Abstract

摘要：

为了抑制频率复用造成的同频干扰，高通量卫星通信系统开始研究地面干扰抑制技术，包括应用于反向链路的多用户检测技术和应用于前向链路的预编码技术，建立考虑自由空间损耗、降雨衰减和波束增益等影响的前向链路模型。在非理想信道状态信息模型的基础上针对最小均方误差预编码算法进行改进，提出一种适用于非理想信道状态信息的改进最小均方误差预编码算法。考虑的卫星预编码算法采用更加精确的具有非理想信道信息的信道模型，将非理想信道状态信息纳入预编码算法并进行消除设计。仿真结果表明，基于高通量卫星预编码算法在非理想信道状态信息条件下能够显著提升系统的吞吐量，并且提高了系统的鲁棒性。

关键词: 高通量卫星, 预编码技术, 非理想信道状态信息, 最小均方误差预编码

Abstract:

In order to suppress co-channel interference caused by frequency reuse, high-throughput satellite communication systems have begun to study ground interference suppression technologies, including multi-user detection technology applied in the reverse link and precoding technology applied in the forward link.A forward link model was established that took into account the eff ects of free space loss, rain attenuation, and beam gain.Based on the non-ideal channel state information model, the minimum mean square error precoding algorithm was improved, and an improved minimum mean square error precoding algorithm suitable for non-ideal channel state information was proposed.The satellite precoding algorithm considered adopted a more accurate channel model with irrational channel information, and incorporated the non-ideal channel state information into the precoding algorithm and eliminated it.The simulation results showed that the high-throughput satellite precoding algorithm could signifi cantly improved the throughput of the system under the condition of non-ideal channel state information, and also improved the robustness of the system.

Key words: high-throughput satellite, precoding technology, non-ideal channel state information, minimum mean square error precoding

中图分类号:

TN393

窦映喆, 薛冠昌, 杨明川. 基于非理想信道状态信息的高通量卫星预编码算法[J]. 天地一体化信息网络, 2023, 4(1): 66-72.

Yingzhe DOU, Guanchang XUE, Mingchuan YANG. High-Throughput Satellite Precoding Algorithm Based on Non-Ideal Channel State Information[J]. Space-Integrated-Ground Information Networks, 2023, 4(1): 66-72.

图/表 5

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参考文献 26

[1]	GUIDOTTI A , VANELLI-CORALLI A , . Clustering strategies for multicast precoding in multibeam satellite systems[J]. International Journal of Satellite Communications and Networking, 2020,38(2): 85-104.
[2]	张秋旋, 张海波, 王艳 ,等. 高通量卫星通信综述[J]. 中国新通信, 2022,24(4): 35-37.
	ZHANG Q X , ZHANG H B , WANG Y ,et al. Overview of high-throughput satellite communication[J]. China New Telecommunications, 2022,24(4): 35-37.
[3]	马晨 . 高通量卫星系统预编码理论与技术研究[D]. 哈尔滨:哈尔滨工业大学, 2019.
	MA C . Research on precoding theories and techniques of high throughput satellite system[D]. Harbin:Harbin Institute of Technology, 2019.
[4]	HONNAIAH P J , LAGUNAS E , CHATZINOTAS S ,et al. Interference-aware demand-based user scheduling in precoded high throughput satellite systems[J]. IEEE Open Journal of Vehicular Technology, 3: 120-137.
[5]	GHARANJIK A , BHAVANI S M R , ARAPOGLOU P D ,et al. Robust precoding design for multibeam downlink satellite channel with phase uncertainty[C]// Proceedings of 2015 IEEE International Conference on Acoustics,Speech and Signal Processing. Piscataway:IEEE Press, 2015: 3083-3087.
[6]	MYSORE B S , LAGUNAS E , CHATZINOTAS S ,et al. Precoding for satellite communications:why,how and what next?[J]. IEEE Communications Letters, 2021,25(8): 2453-2457.
[7]	ROCHA A , MOTA S , JORGE F . Propagation campaign at q-band and ka-band using the Alphasat and Ka-Sat satellites[C]// Proceedings of 12th European Conference on Antennas and Propagation (EuCAP 2018). Institution of Engineering and Technology, 2018.
[8]	韩星, 张华冲, 杨松 . 基于ASIC的海五卫星信号接收技术及实现[J]. 无线电工程, 2018,48(10): 896-899.
	HAN X , ZHANG H C , YANG S . Design and implementation of inmarsat-5 signal receiving technique based on ASIC[J]. Radio Engineering, 2018,48(10): 896-899.
[9]	高鑫, 门吉卓, 刘晓滨 ,等. 高通量卫星通信发展现状与应用探索[J]. 卫星应用, 2020(8): 43-48.
	GAO X , MEN J Z , LIU X B ,et al. Development status and application exploration of high-throughput satellite communication[J]. Satellite Application, 2020(8): 43-48.
[10]	KANG J , KWON D S , LEE C . Performance optimization of tomlinson-harashima precoder with tilted constellation[J]. IEEE Communications Letters, 2010,14(10): 909-911.
[11]	LEE B , SHIM B . A vector perturbation with virtual users for multiuser MIMO downlink[C]// Proceedings of 2010 IEEE International Conference on Acoustics,Speech and Signal Processing. Piscataway:IEEE Press, 2010: 3406-3409.
[12]	COSTA M . Writing on dirty paper (Corresp.)[J]. IEEE Transactions on Information Theory, 1983,29(3): 439-441.
[13]	COTTATELLUCCI L , DEBBAH M , GALLINARO G ,et al. Interference mitigation techniques for broadband satellite systems[C]// Proceedings of 24th AIAA International Communications Satellite Systems Conference. Reston:AIAA, 2006.
[14]	DEVILLERS B , PEREZ-NEIRA A , MOSQUERA C . Joint linear precoding and beamforming for the forward link of multi-beam broadband satellite systems[C]// Proceedings of 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011. Piscataway:IEEE Press, 2011: 1-6.
[15]	TRONC J , ANGELETTI P , SONG N ,et al. Overview and comparison of on-ground and on-board beamforming techniques in mobile satellite service applications[J]. International Journal of Satellite Communications and Networking, 2014,32(4): 291-308.
[16]	GHARANJIK A , BHAVANI S M R , ARAPOGLOU P D ,et al. Precoding design and user selection for multibeam satellite channels[C]// Proceedings of 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications. Piscataway:IEEE Press, 2015: 420-424.
[17]	JOROUGHI V , VáZQUEZ M á , PéREZ-NEIRA A I . Generalized multicast multibeam precoding for satellite communications[J]. IEEE Transactions on Wireless Communications, 2017,16(2): 952-966.
[18]	韩磊 . 海洋宽带卫星通信在高通量卫星时代的商业机遇[J]. 军民两用技术与产品, 2019(5): 22-26.
	HAN L . Commercial opportunity of broadband ocean satellite communication in the era of high-throughput satellite[J]. Dual Use Technologies ＆ Products, 2019(5): 22-26.
[19]	DIAZ M A , COURVILLE N , MOSQUERA C ,et al. Non-linear interference mitigation for broadband multimedia satellite systems[C]// Proceedings of 2007 International Workshop on Satellite and Space Communications. Piscataway:IEEE Press, 2007: 61-65.
[20]	MATURO N , DUNCAN J C M , KRIVOCHIZA J ,et al. Demonstrator of precoding technique for a multi-beams satellite system[C]// Proceedings of 2019 8th International Workshop on Tracking,Telemetry and Command Systems for Space Applications (TTC). Piscataway:IEEE Press, 2019: 1-8.
[21]	MYSORE B S , LAGUNAS E , CHATZINOTAS S ,et al. Precoding for satellite communications:why,how and what next?[J]. IEEE Communications Letters, 2021,25(8): 2453-2457.
[22]	SU B , ZHOU Q R . Analysis of dynamic evolution and station-keeping of starlink[C]// Proceedings of 2021 China Automation Congress (CAC). Piscataway:IEEE Press, 2021: 8229-8234.
[23]	KHAN M H A , CHO K M , LEE M H ,et al. A simple block diagonal precoding for multi-user MIMO broadcast channels[J]. EURASIP Journal on Wireless Communications and Networking, 2014:95.
[24]	GUIDOTTI A , VANELLI-CORALLI A ,, . Design trade-off analysis of precoding multi-beam satellite communication systems[C]// Proceedings of 2021 IEEE Aerospace Conference (50100). Piscataway:IEEE Press, 2021: 1-12.
[25]	ITU-R Recommendation P. 618-10.Propagation data and prediction methods required for the design of Earth-space telecommunication systems[Z]. 2009.
[26]	WANG J H , PALOMAR D P . Robust MMSE precoding in MIMO channels with pre-fixed receivers[J]. IEEE Transactions on Signal Processing, 2010,58(11): 5802-5818.

参数	参数值
载波频率/Hz	20
轨道高度/km	35 786
波束半径/km	190
波束3 dB角度/(°)	0.4
降雨衰减均值/dB	0.6
最大天线发射增益/dBi	50
降雨衰减方差/dB	1
用户终端接收增益/dBi	41.7
用户链路带宽/MHz	500
接收机噪声温度/K	207
前向链路自由空间损耗/dB	210
最大发射功率/W	80

基于非理想信道状态信息的高通量卫星预编码算法

High-Throughput Satellite Precoding Algorithm Based on Non-Ideal Channel State Information

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