基于改进最小均方算法的卫星多波束形成技术
Improved least mean square algorithm based in satellite multi-beamforming
- 通信学报 2017年38卷第Z1期 页码：171-178
- 作者机构：
哈尔滨工业大学通信技术研究所，黑龙江 哈尔滨 150080
- 作者简介：
[ "张宇萌（1995-），男，黑龙江海伦人，哈尔滨工业大学硕士生，主要研究方向为卫星通信系统多波束技术。" ]
[ "杨明川（1977-），男，甘肃靖远人，博士，哈尔滨工业大学副研究员，主要研究方向为卫星移动通信系统、高空平台站通信系统及深空通信网络等。" ]
[ "刘晓锋（1961-），男，黑龙江哈尔滨人，哈尔滨工业大学教授，主要研究方向为新一代卫星通信系统、微小卫星测控通信技术、无线网络及数字传输技术等。" ]
[ "张中兆（1951-），男，北京人，哈尔滨工业大学教授，主要研究方向为战术武器数据链、深空通信、集群通信、卫星移动通信等。" ]
- 基金信息：国家自然科学基金资助项目(91438205);国家自然科学基金资助项目(91538104)
DOI：10.11959/j.issn.1000-436x.2017251
中图分类号： TN927-
网络首发：2017-10，
纸质出版：2017-10-25
- 稿件说明：
移动端阅览
张宇萌, 杨明川, 刘晓锋, 等. 基于改进最小均方算法的卫星多波束形成技术[J]. 通信学报, 2017,38(Z1):171-178.
Yu-meng ZHANG, Ming-chuan YANG, Xiao-feng LIU, et al. Improved least mean square algorithm based in satellite multi-beamforming[J]. Journal on Communications, 2017, 38(Z1): 171-178.
张宇萌, 杨明川, 刘晓锋, 等. 基于改进最小均方算法的卫星多波束形成技术[J]. 通信学报, 2017,38(Z1):171-178. DOI： 10.11959/j.issn.1000-436x.2017251.
Yu-meng ZHANG, Ming-chuan YANG, Xiao-feng LIU, et al. Improved least mean square algorithm based in satellite multi-beamforming[J]. Journal on Communications, 2017, 38(Z1): 171-178. DOI： 10.11959/j.issn.1000-436x.2017251.
摘要
高通量卫星采用多波束技术实现极化隔离和空间隔离以复用频率资源，从而使通信容量成倍增加，但这对快速的自适应波束形成算法提出了更高的要求。为了解决采用 LMS 算法进行波束形成时收敛速度与稳态误差不能同时满足的缺点，提出一种改进的最小均方算法，它使用统计平均进行梯度更新解决瞬时梯度导致的形成波束不稳定问题，旨在波束形成开始阶段加快速度，而在收敛达到稳定状态后保持小的误差值。考虑在高通量卫星强降雨衰减的环境中，仿真应用61阵元正六边形排布相控阵天线形成7点波束。结果显示改进算法在仅少量增加复杂度的情况下大幅提高了收敛速度并获得了更优的稳态性能，可应用于应急通信场景下存在严重波束间同频干扰的高通量卫星波束形成技术。
Abstract
High-throughput satellites use multi-beam technology to achieve polarization isolation and spatial isolation to reuse frequency resources
resulting in increased traffic capacity
but this presents a higher demand for fast adaptive beamforming algorithms.In order to solve the shortcoming that the convergence rate and steady-state error can not be satisfied simultaneously when using the LMS algorithm
an improved least mean square algorithm was proposed
which used the statistical average gradient update to solve the problem of the formation of beam instability caused by the instantaneous gradient
which can speed up at the beginning of the beamforming and maintain a small error value after the convergence has reached a steady state.The use of 61-element hexagonal array phased array antenna to form a 7-point beam in an environment where high-throughput satellites have a strong rainfall attenuation was considered.The results show that the improved algorithm can greatly improve the convergence speed and obtain better steady state performance under the condition of only a small increase in complexity
which can be applied to high-throughput satellite beamforming technology with severe inter-beam co-channel interference in emergency communication scenarios.
关键词
Keywords
references
KATONA Z , CLAZZER F , SHORTT K , et al . Performance,cost analysis,and ground segment design of ultra high throughput multi‐spot beam satellite networks applying different capacity enhancing techniques [J ] . International Journal of Satellite Communications ＆ Networking , 2016 , 34 ( 4 ): 547 - 573 .
RAO S K , CHIH-CHIEN H , . Advanced multiple beam antenna system supporting multiple satellite communications services [C ] // Asia Pacific Microwave Conference . 2008 : 1 - 4
COTTATELLUCCI L , DEBBAH M , GALLINARO G , et al . Interference mitigation techniques for broadband satellite systems [J ] . Public Organization Review , 2013 , 7 ( 2 ): 163 - 180 .
DEVILLERS B , PEREZ-NEIRA A , MOSQUERA C . Joint linear precoding and beamforming for the forward link of multi-beam broadband satellite systems [C ] // Global Communications Conference . 2011 : 1 - 6 .
AL-ARDI E M , SHUBAIR R M , AL-MUALLA M E . Performance evaluation of the LMS adaptive beamforming algorithm used in smart antenna systems [C ] // Midwest Symposium on Circuits and Systems . 2004 : 432 - 435 .
SENAPATI A , GHATAK K , ROY J S . A comparative study of adaptive beamforming techniques in smart antenna using LMS algorithm and its variants [C ] // International Conference on Computational Intelligence and Networks . 2015 : 58 - 62 .
BISMOR D . LMS algorithm step size adjustment for fast convergence [J ] . Archives of Acoustics , 2012 , 37 ( 1 ): 31 - 40 .
CHOUVARDAS S , DRAIEF M . A diffusion kernel LMS algorithm for nonlinear adaptive networks [C ] // IEEE International Conference on Acoustics,Speech and Signal Processing . 2016 : 4164 - 4168 .
JAHROMI M N S , SALMAN M S , HOCANIN A , et al . Convergence analysis of the zero-attracting variable step-size LMS algorithm for sparse system identification [J ] . Signal Image ＆ Video Processing , 2015 , 9 ( 6 ): 1353 - 1356 .
陆乐 . 星载智能天线空域抗干扰快速算法研究 [D ] . 南京:南京理工大学 , 2017 : 14 - 34 .
LU L . A fast algorithm for spaceborne anti-jamming of spaceborne smart antenna [D ] . Nanjing:Nanjing University of Science and Technology , 2017 : 14 - 34 .
LI W , HUANG X , LEUNG H . Performance evaluation of digital beamforming strategies for satellite communications [J ] . IEEE Transactions on Aerospace ＆ Electronic Systems , 2004 , 40 ( 1 ): 12 - 26 .
XIAO L , COTTATELLUCCI L , GHANEM S A M . Adaptive beamforming in mobile,massively multiuser satellite communications:a system perspective [C ] // Advanced Satellite Multimedia Systems Conference and the,Signal Processing for Space Communications Workshop . 2015 : 51 - 58 .
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 ＆ Networking , 2014 , 32 ( 4 ): 291 - 308 .
ARTI M K , BHATNAGAR M R . Beamforming and combining in hybrid satellite-terrestrial cooperative systems [J ] . IEEE Communications Letters , 2014 , 18 ( 3 ): 483 - 486 .
YANG F , HUANG M , ZHANG S , et al . Multi-layer beam architecture in mobile satellite communications [C ] // International ICST Conference on Communications and Networking in China . 2011 : 1115 - 1119 .
MONTESINOS J , BESSON O , LARUE d T C . Adaptive beamforming for large arrays in satellite communications systems with dispersed coverage [J ] . IET Communications , 2011 , 5 ( 3 ): 350 - 361 .
0
浏览量
1386
下载量
0
CSCD
- 网络PDF下载
- XML下载
- Meta-XML下载
- BibTeX下载
- Endnote下载
- RefMan 下载
- NoteExpress下载
- NoteFirst下载
关联资源
相关文章
相关作者
相关机构
AI问答- 技术支持由北京北大方正电子有限公司提供 京ICP备09064830号-19
京公网安备11010802024621 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies
- 总访问量：582505 今日访问量：321