標題: BEAMSPACE ML BEARING ESTIMATION INCORPORATING LOW-ANGLE GEOMETRY
作者: ZOLTOWSKI, MD
LEE, TS
電信工程研究所
Institute of Communications Engineering
公開日期: 1-May-1991
摘要: A problem of interest in low-angle radar tracking is that of bearing estimation in the presence of a strong specular multipath component that arrives within a beamwidth of the direct path signal. Three-dimensional beamspace domain maximum likelihood (3D-BDML) is a computationally simple ML bearing estimation algorithm applicable in this scenario which operates in a 3-D beamspace. A variation of 3D-BDML incorporating the multipath geometry as a priori information is presented. In symmetric 3D-BDML the pointing angle of the center beam is equal to the bisector angle between the direct path ray and the image ray, which may be estimated a priori given only the radar height and the target range. The effect of the inclusion of a priori information on the performance of 3D-BDML is analyzed in terms of the dependence on the relative phase difference between the direct and specular path signals, the sensitivity to error in the bisector angle estimate, and the results of operation when no specular multipath component is present in the data. In addition, computationally simple schemes for coherently incorporating multifrequency data into 3D-BDML are investigated as well.
URI: http://dx.doi.org/10.1109/7.81426
http://hdl.handle.net/11536/3790
ISSN: 0018-9251
DOI: 10.1109/7.81426
期刊: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Volume: 27
Issue: 3
起始頁: 441
結束頁: 458
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  1. A1991FU36400004.pdf