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Study on Multidimensional Parameter Estimation Based on Non-ideal Electromagnetic Vector Sensor Array
Author: HouAiLin
Tutor: ShiYaoWu
School: Jilin University
Course: Control Theory and Control Engineering
Keywords: Electromagnetic vector sensor DOA Polarization Uniform circular array Array error
CLC: TP212
Type: Master's thesis
Year: 2007
Downloads: 160
Quote: 1
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Abstract
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Electromagnetic vector sensor array signal processing is an emerging discipline in the field of array signal processing branch , compared with the traditional scalar sensor array , robust detection of electromagnetic vector sensor array , strong interference rejection capability and high spatial resolution capability. These advantages make it important value of military and civilian applications . Outstanding achievements in modern signal processing methods with electromagnetic vector sensor array signal processing method of organic combination of multi-parameter estimation method for non- ideal array signal , first introduced the basics of polarized array signal processing , discussed based on the non- ideal polarization array signal multi - parametric estimation of the theoretical and methodological issues . Including : DOA matrix algorithm based on the circular electromagnetic vector sensor array of two-dimensional DOA and polarization parameters estimated ; based on circular electromagnetic vector sensor array fourth-order cumulants of two-dimensional DOA, frequency and polarization parameters of joint algorithm , as well as the system is estimated there are the robust algorithm dimensional DOA Estimation disturbances ; single electromagnetic vector sensor electromagnetic vector sensor array situ error estimation and compensation issues , the auxiliary source correction . These are electromagnetic vector sensor array signal processing research focus , they are both electromagnetic vector sensor array signal processing theory development or practical application , has an important significance .
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