書誌事項
- タイトル別名
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- Signal Processing in Power State Variables for Noise Cancellation of Electromagnetic Environment
- デンジ カンキョウ ノ ザツオン タイサク ニ タイスル パワー ヘンリョウ ニ オケル シンゴウ ショリ
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抄録
The specific signal in the actual electromagnetic wave frequently shows some very complex fluctuation forms of non-Gaussian type owing to natural, social and human factors. Furthermore, the observed data are inevitably contaminated by the background noise of arbitrary distribution type. In these situations, it is often desirable to estimate several evaluation quantities such as the peak value, the amplitude probability distribution, the average crossing rate, the pulse spacing and duration distributions, etc. of the specific signal. Without losing their mutual relationships, it is indispensable to estimate the probability distribution or the original wave fluctuation form itself of the specific signal based on the observed noise data. In this study, static and dynamic signal processing methods for estimating a specific signal with the existence of background noise of non-Gaussian distribution forms are proposed. More specifically, by paying attention to the power state variable for a specific signal in the electromagnetic environment, which exhibits complex probability distribution forms, a new type of signal processing method for noise cancellation is proposed. In the case of considering the power state variable, a physical mechanism of contamination by a background noise can be reflected in the noise cancellation method by using an additive property between the specific signal and background noise. The proposed method positively utilizes the additive property of power state variable in the derivation process of the noise cancellation method. Furthermore, the effectiveness of the proposed theoretical method is experimentally confirmed by applying it to an estimation problem in actual electromagnetic environment.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 133 (3), 441-449, 2013
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679584645632
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- NII論文ID
- 130003363231
- 10031155330
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 024347678
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
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- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可