Azimuth and elevation direction finding using arbitrary array geometries
被引:94
作者:
Liu, TH
论文数: 0引用数: 0
h-index: 0
机构:
Univ So Calif, Dept Elect Engn Syst, Inst Signal & Image Proc, Los Angeles, CA 90089 USAUniv So Calif, Dept Elect Engn Syst, Inst Signal & Image Proc, Los Angeles, CA 90089 USA
Liu, TH
[1
]
Mendel, JM
论文数: 0引用数: 0
h-index: 0
机构:
Univ So Calif, Dept Elect Engn Syst, Inst Signal & Image Proc, Los Angeles, CA 90089 USAUniv So Calif, Dept Elect Engn Syst, Inst Signal & Image Proc, Los Angeles, CA 90089 USA
Mendel, JM
[1
]
机构:
[1] Univ So Calif, Dept Elect Engn Syst, Inst Signal & Image Proc, Los Angeles, CA 90089 USA
azimuth;
cumulant;
direction of arrival;
elevation;
ESPRIT;
VESPA;
D O I:
10.1109/78.700985
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
An ESPRIT-based algorithm is proposed to estimate the azimuth and elevation angles of multiple independent sources. The algorithm uses cumulants and imposes no geometric constraint on the array. Only one third of the hardware is needed for our algorithm as compared with covariance-based tno-dimensional (2-D) ESPRIT. Our algorithm can estimate azimuth and elevation angles of M - 1 sources using M sensors. Simulation results show that for several array configurations, our algorithm works well.