Combination of space and time adaptive mean filters for noise reduction in antenna measurement

This paper presents the combination of space adaptive mean (SAM) filter and time adaptive mean (TAM) filter for removing noise in antenna measurement. The antenna measurement system which is a typical communication system is affected by additive white Gaussian noise (AWGN). Therefore the use of mean...

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Hauptverfasser: Kyeong-Sik Min, Thanh-Ngon Tran, Chul-Keun Park
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Thanh-Ngon Tran
Chul-Keun Park
description This paper presents the combination of space adaptive mean (SAM) filter and time adaptive mean (TAM) filter for removing noise in antenna measurement. The antenna measurement system which is a typical communication system is affected by additive white Gaussian noise (AWGN). Therefore the use of mean filters is suitable for removing noise in this case. The combination of two type of mean filter is suggested to yield the best results and its algorithm is presented in this paper. This algorithm is implemented in practical measurement system and has good results, so the results and discussions are presented.
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The antenna measurement system which is a typical communication system is affected by additive white Gaussian noise (AWGN). Therefore the use of mean filters is suitable for removing noise in this case. The combination of two type of mean filter is suggested to yield the best results and its algorithm is presented in this paper. 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subjects Adaptive arrays
Adaptive filters
Additive white noise
Antenna measurements
AWGN
Extraterrestrial measurements
Gaussian noise
Noise measurement
Noise reduction
Time measurement
title Combination of space and time adaptive mean filters for noise reduction in antenna measurement
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