Maximum likelihood self-calibration for direction-dependent gain-phase errors with carry-on instrumental sensors: case of deterministic signal model

Aim at the self-calibration of direction-dependent gain-phase errors in case of deterministic signal model, the maximum likelihood method(MLM) for calibrating the direction-dependent gain-phase errors with carry-on instrumental sensors was presented. In order to maximize the high-dimensional nonline...

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Vydáno v:Tongxin Xuebao Ročník 32; číslo 2; s. 34 - 47
Hlavní autoři: Wang, Ding, Pan, Miao, Wu, Ying
Médium: Journal Article
Jazyk:čínština
Vydáno: Editorial Department of Journal on Communications 01.02.2011
Témata:
Azimuth
Calibration
Error detection
Errors
Exact solutions
Mathematical analysis
Mathematical models
maximum likelihood method;self-calibration;gain-phase errors;instrumental sensors;direction-dependent;Cramér-Rao bound
Sensors
ISSN:1000-436X
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Shrnutí:Aim at the self-calibration of direction-dependent gain-phase errors in case of deterministic signal model, the maximum likelihood method(MLM) for calibrating the direction-dependent gain-phase errors with carry-on instrumental sensors was presented. In order to maximize the high-dimensional nonlinear cost function appearing in the MLM, an improved alternative projection iteration algorithm, which could optimize the azimuths and direction-dependent gain-phase errors was proposed. The closed-form expressions of the Cramer-Rao bound(CRB) for azimuths and gain-phase errors were derived. Simulation experiments show the effectiveness and advantage of the novel method.
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ISSN:1000-436X