| DC 欄位 |
值 |
語言 |
| DC.contributor | 電機工程學系 | zh_TW |
| DC.creator | 林鴻志 | zh_TW |
| DC.creator | Hong-Zhi Lin | en_US |
| dc.date.accessioned | 2006-6-28T07:39:07Z | |
| dc.date.available | 2006-6-28T07:39:07Z | |
| dc.date.issued | 2006 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=93521084 | |
| dc.contributor.department | 電機工程學系 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 本文利用中壢特高頻雷達在觀測大氣訊號時，常有雜訊污染訊號，使訊號無法有效利用。在本研究中，主要針對飛機及降雨對雷達訊號的干擾來進行濾波，而使用的方法為新技術希爾伯-黃轉換（Hilbert-Huang Transform，HHT），在濾除飛機訊號時，也藉助基波轉換（Wavelet Transform，WT）在數學上的貢獻，與HHT相輔相成，有效率的進行濾波，最後而發展了一套「自動化濾波」。而濾波結果彼此比較都卜勒速度、頻寬、頻譜等，判斷是否正確，最後再看看其結果是否在雷達訊號裡接近大氣的波動，使其有效再利用與分析。 | zh_TW |
| dc.description.abstract | When we use Chung Li VHF radar to observe atmospheric signal, there are some noise make the signal feckless. In this study, we use wavelet transform and a new method called Hilbert-Huang Transform to filter the plane and precipitation signal, that is, the noise. By this way, we create a process called ＂auto-filtering process＂ to filter the noise from normal atmospheric signal. We used the observed data to calculate the echo power, the Doppler frequency shift, spectral width and signal-to-noise ratio by the moment method. After comparing these outcomes with normal atmospheric signal, we can determine if the method is useable. | en_US |
| DC.subject | 基波轉換 | zh_TW |
| DC.subject | 希爾伯-黃轉換 | zh_TW |
| DC.subject | 自動化濾波 | zh_TW |
| DC.subject | 都卜勒速度 | zh_TW |
| DC.subject | Hilbert-Huang Transform | en_US |
| DC.subject | Wavelet Transform | en_US |
| DC.subject | Doppler frequency shift | en_US |
| DC.subject | Auto-filtering process | en_US |
| DC.title | 雷達訊號之時頻分析 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | Time-Frequency analysis of radar signal | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |