期刊文献+

三维传播环境天线阵列空域相关性研究 被引量:3

Spatial correlation for antenna array under arbitrary 3D propagation scenarios
下载PDF
导出
摘要 针对任意三维传播环境下多天线空域相关性求解复杂的问题,提出一种基于角度域脉冲采样的高效近似计算方法。针对均匀角度谱分布,详细推导出了天线空域相关系数的闭合表达式和近似表达式;针对非均匀任意角度谱,利用有限个均匀二维采样脉冲加权叠加进行逼近,从而将天线空域相关系数等效为多个均匀采样脉冲对应相关系数的加权之和。基于实测的Von Mises Fisher角度谱,仿真结果表明,当采样间隔小于2°时,所提方法运算量仅为数值积分方法的十分之一,而绝对误差小于0.005,可以应用于多天线分集、多输入多输出系统性能评估及天线阵列流型优化等场合。 Since analyzing spatial correlation between multiple antennas under 3Dpropagation scenarios is very difficult,a new approximate but high efficient calculation method based on the pulse sampling in the angle domain is proposed based on.Firstly,a new closed-form solution is derived,as well as an approximate expression for the spatial correlation coefficient under isotropic power angle spectrum,and then the arbitrary non-isotropic angle spectrum is expressed as a weighted summation of 2Duniform sampling pulses.On this basis,the spatial correlation under arbitrary 3Dpropagation scenarios can be equivalent to the weighted sum of the corresponding correlation of each sampling pulse.Simulation results based on the measured Von Mises Fisher distribution show that,when the sampling interval is less than 2°,time consumption of the proposed method is only about 10% of the one of the numerical integral method,and absolute error is less than 0.005,which can be applied on multiple antenna diversity system design,multi-input multi-output system performance evaluation and antenna array flow pattern optimization.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2017年第9期1936-1941,共6页 Systems Engineering and Electronics
基金 国家自然科学基金(61571225) 江苏省博士后基金(1601017C) 中央高校基本科研业务费青年科技创新基金(NS2015046 NS2016044) 江苏省物联网与控制技术重点实验室基金(NJ20160027)资助课题
关键词 三维传播环境 天线阵列 空域相关性 Von MISES Fisher分布 three-dimensional(3D)propagation scenarios antenna array spatial correlation Von Mises Fisher distribution
  • 相关文献

参考文献3

二级参考文献21

  • 1Jakes W. Microwave mobile communications. Piscataway, NJ, USA: IEEE Press, 1974.
  • 2Tunc C A, Aktas D, Erttirk V B, et al. Capacity of printed dipole arrays in the MIMO channel. IEEE Antennas and Propagation Magazine, 2008, 50, (5): 190-198.
  • 3Karedal J, Almers P. A MIMO channel model for wireless personal area networks. IEEE Transactions on Wireless Communications, 2010, 9(1): 245-255.
  • 4Svantesson T. Correlation and channel capacity of MIMO systems employing multimode antennas. IEEE Transactions on Vehicular Technology, 2002, 51(6): 1304-1312.
  • 5Durrani S, Bialkowski M E. Effect of angular energy distribution of an incident signal on the spatial fading correlation of a uniform linear array. Proceedings of 15th International Conference on Microwaves, Radar and Wireless Communications (MIKON'04): Vol 2, May 17-19, 2004, Warsaw, Polish. Piscataway, NJ, USA: IEEE, 2004:493-496.
  • 6Tsai J A, Buehrer R M, Woemer B D. Spatial fading correlation function of circular antenna arrays with Laplacian energy distribution. IEEE Communications Letters, 2002, 6(5): 178-180.
  • 7Ribeiro C B, Ollila E, Koivunen V. Propagation parameter estimation in mimo systems using mixture of angular distributions. Proceedings of the 30th Intemational Conference on Acoustics, Speech, and Signal Processing (ICASSP'05): Vol 4, Mar 18-23, 2005, Philadelphia, PA, USA. Piscataway, NJ, USA: IEEE, 2005:885-888.
  • 8Lee W C.Y, Brandt R H. The elevation angle of mobile radio signal arrival. IEEE Transactions on Communications, 1973, 22(4): 1194-1197.
  • 9Yong S K, Thompson J S. Three-dimensional spatial fading correlation models for compact mimo receivers. IEEE Transactions on Wireless Communications 2005, 4(6): 2856-2869.
  • 10Shaft M, Zhang M, Moustakas A L, et al. Polarized MIMO channels in 3-D models, measurements and mutual information. IEEE Journal on Selected Areas in Communications, 2006, 24(3): 514-526.

共引文献9

同被引文献7

引证文献3

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部