碩士 / 中華科技大學 / 電子工程研究所碩士班 / 99 / Due to several factors in Radar transmitters, there exists a feature called unintentional modulation on pulse (UMOP) during the modulation and emitting process. Such feature is unique and is called Radar fingerprint. Radar fingerprint can apply to be Radar identification. Such kind of identification approach is also called the special emission source identification (Special Emitter Identify, SEI).
Several authors have paid attention to the investiagation of radar fingerprint identification for ground-based radars in recent years [2] [3]. The work environment for ground-based radar was chosen by passing a variety of testing and certification, hence the signal characteristics is less susceptible to interference of the surrounding environment and the signal has high power and high stability. On the other hand, the signal of moving targets due to the complexity of background is weak and low-power, and the worser is Radars of a type working in the same working frequency bands. To overcome such difficulty, It is necessary to do “deinterleaving” prior to making Radar identification. In this thesis, the fuzzy C mean (Fuzzy C_Means) rules is adopted for “deinterleaving”.
Once the completion of the signal deinterleaving, the deinterleaved signal is loaded to be identified by using several kinds of recognition algorithms and the coresponding identification reliability was verified. Results indicate that the algorithm using the pulse rise time is the best.
| Identifer | oai:union.ndltd.org:TW/099CHIT0427004 |
| Date | January 2011 |
| Creators | Chao Chich Ping, 趙治平 |
| Contributors | Yang Yaw Po, 楊耀波 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 75 |
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