CYCLOSTATIONARITY-BASED DOA AND POLARIZATION ESTIMATION FOR MULTIPATH SIGNALS WITH A UNIFORM LINEAR ARRAY OF ELECTROMAGNETIC VECTOR SENSORS
With a uniform linear array of electromagnetic vector sensors (VS), a cyclic Pro-ESPRIT-based and a cyclic MUSIC-based methods are proposed, each of which gives a solution for the two-dimensional (2-D) direction finding and polarization estimation of cyclostationary signals in multipath environment. An electromagnetic vector sensor is composed of six spatially co-located, orthogonally oriented, diversely polarized antennas, separately measuring all six electromagnetic-field components of an incident wavefield. By exploiting the cyclostationarity of the signals and the special structure of a vector sensor, the proposed methods improve the resolution power and increase the signal-selective capability. The performance of each proposed approach is confirmed through numerical examples.
Polarization direction finding array signal processing cyclostationarity multipath
QIAN ZHANG LAN WANG YAN WANG JIA-CAI HUANG
School of Electronic Information, ZhongYuan Institute of Technology, Zhengzhou 450007, China College of Communication, Jilin University, Changchun 130025,China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
2047-2052
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）