Estimation of Bearings with Near-Field Partially Correlated Sources

碩士 === 國立臺灣大學 === 電信工程學研究所 === 88 === Bearing estimation has been for a long term an important segment of antenna array signal processing. To find out the angle of the source is so-called bearing estimation. Many techniques have been developed in the field of bearing estimation, the famou...

Full description

Bibliographic Details
Main Authors: LAI , JENG-NAN, 賴正男
Other Authors: LEE , JU-HONG
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/74675717361188687622
Description
Summary:碩士 === 國立臺灣大學 === 電信工程學研究所 === 88 === Bearing estimation has been for a long term an important segment of antenna array signal processing. To find out the angle of the source is so-called bearing estimation. Many techniques have been developed in the field of bearing estimation, the famous MUSIC algorithm, for example. As to the situation of source in the field, generally incoherent issues only few related to partially correlated and coherent ones, are discussed. At first, bearing estimation issues of 1-D and 2-D antenna array near field and coherent sources are down for discussion in this thesis. The method of reconstruct matrix speciality is used to bring a matter to a bearing estimation issues. In addition, an efficient method to estimate bearings and ranges by utilizing 2-D MUSIC spectrum is as well proposed, yet this method is not estimating partially correlated sources bearings and ranges by plotting. Besides, when stop criterion is added in the efficient method, operation time is discovered shorter and more effictive. It is continued to utilize the method of finding roots directed to discover partially correlated sources bearings and ranges in Fresnel approximation area, and its efficiency is well appreciated, however, the only defect is operation time of finding roots takes too long. Finally signal cyclostationarity plus the method of reconstruct matrix speciality are utilized to solve the bearing estimation issues of partially correlated sources.