Performance of Signal Identification for Multiple PRI Signals and Frequency Signals of Chirp Radar
碩士 === 國立中央大學 === 電機工程研究所 === 88 === Radar could be divided into CW radar, pulse radar, and compressed radar. CW radar could be further divided into AM-type, PM-type, and FM-type based on the choice of modulation. FM could be linear or sinusoidal. Pulse radars could be divided into low-pulse repetit...
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ndltd-TW-088NCU004420592016-07-08T04:22:42Z http://ndltd.ncl.edu.tw/handle/19757883100142365738 Performance of Signal Identification for Multiple PRI Signals and Frequency Signals of Chirp Radar 多重脈波重複週期訊號與頻擾雷達之頻率訊號的辨識效能評估 李光裕 碩士 國立中央大學 電機工程研究所 88 Radar could be divided into CW radar, pulse radar, and compressed radar. CW radar could be further divided into AM-type, PM-type, and FM-type based on the choice of modulation. FM could be linear or sinusoidal. Pulse radars could be divided into low-pulse repetition interval radar, high-pulse repetition interval radar, and multiple-pulse repetition interval radar. Compressed radar could be divided into chirp radar and coded radar. When the signals of the multiple-pulse repetition interval radar and the frequency of chirp radar go through a specific instrument, the output signals are different from the original ones. The output signals still need to be recognized by man. This thesis submits an automatic solution to solve this problem. The first step is to classify the signal, and then use Maximal-likelihood criterion to estimate the signal. We use the computer simulation to evaluate the efficiency of signal recognition. Char-Dir Chung 鐘嘉德 2000 學位論文 ; thesis 54 zh-TW |
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碩士 === 國立中央大學 === 電機工程研究所 === 88 === Radar could be divided into CW radar, pulse radar, and compressed radar. CW radar could be further divided into AM-type, PM-type, and FM-type based on the choice of modulation. FM could be linear or sinusoidal. Pulse radars could be divided into low-pulse repetition interval radar, high-pulse repetition interval radar, and multiple-pulse repetition interval radar. Compressed radar could be divided into chirp radar and coded radar.
When the signals of the multiple-pulse repetition interval radar and the frequency of chirp radar go through a specific instrument, the output signals are different from the original ones. The output signals still need to be recognized by man. This thesis submits an automatic solution to solve this problem. The first step is to classify the signal, and then use Maximal-likelihood criterion to estimate the signal. We use the computer simulation to evaluate the efficiency of signal recognition.
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Char-Dir Chung |
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Char-Dir Chung 李光裕 |
author |
李光裕 |
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李光裕 Performance of Signal Identification for Multiple PRI Signals and Frequency Signals of Chirp Radar |
author_sort |
李光裕 |
title |
Performance of Signal Identification for Multiple PRI Signals and Frequency Signals of Chirp Radar |
title_short |
Performance of Signal Identification for Multiple PRI Signals and Frequency Signals of Chirp Radar |
title_full |
Performance of Signal Identification for Multiple PRI Signals and Frequency Signals of Chirp Radar |
title_fullStr |
Performance of Signal Identification for Multiple PRI Signals and Frequency Signals of Chirp Radar |
title_full_unstemmed |
Performance of Signal Identification for Multiple PRI Signals and Frequency Signals of Chirp Radar |
title_sort |
performance of signal identification for multiple pri signals and frequency signals of chirp radar |
publishDate |
2000 |
url |
http://ndltd.ncl.edu.tw/handle/19757883100142365738 |
work_keys_str_mv |
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1718340040637022208 |