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| 研究生： |
洪嘉男 Jia-Nan Hong |
|---|---|
| 論文名稱： |
24GHz 毫米波雷達目標模擬器之研製 Design and Implementation of Radar Target Simulator for 24GHz FMCW Radar System |
| 指導教授： |
呂政修
Jenq-Shiou Leu |
| 口試委員: |
戴易明
Yi-Ming Dai 袁錦鋒 Kevin Kam Fung Yuen 陳維美 Wei-Mei Chen 陳郁堂 Yie-Tarng Chen 呂政修 Jenq-Shiou Leu |
| 學位類別： |
碩士 Master |
| 系所名稱： |
電資學院 - 電子工程系 Department of Electronic and Computer Engineering |
| 論文出版年： | 2018 |
| 畢業學年度： | 106 |
| 語文別： | 中文 |
| 論文頁數： | 整份64頁 |
| 中文關鍵詞： | ADAS 、車用雷達 、FMCW 、目標模擬器 |
| 外文關鍵詞： | ADAS, Car Radar, FMCW, Doppler effect, Radar Target Simulator |
| 相關次數： | 點閱：206 下載：2 |
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近年來，為了提升行車環境的安全品質，自動駕駛、輔助駕駛，已是各家汽車大廠紛紛投入研究的目標。進階駕駛輔助系統(ADAS，Advanced driver-assistance systems)便是用來幫助駕駛的行車安全系統，該系統包含許多子系統，像是主動車距控制、車道偏離提醒系統、預防碰撞系統、停車輔助系統……等。其中，為了偵測行車環境中的周遭目標，車用雷達可以發射一頻率調變連續波(FMCW，Frequency-Modulated Continuous-Wave)雷達訊號，打至目標後反射一個回跡訊號，利用多普勒效應的工作原理，系統將訊號解析後可得知目標的相對距離及速度。然而開發一個車用雷達模組，需要耗費相當多的時間以及人力成本，甚至上路實測也會有發生事故的風險，為了減少研究開發時間和風險，本論文研製一個車用雷達的目標模擬器，發射一雷達訊號，模擬行車環境中的周遭目標。
Nowadays, there are many automobile manufacturers developing autonomous cars. The Advanced Driver-Assistance Systems(ADAS) are systems to help the driver when driving. The systems include adaptive cruise control, lane departure warning system, automatic parking, pre-crash system, etc. In order to detect the surrounding targets, car radar transmits a Frequency-Modulated Continuous-Wave (FMCW) radar signal and receives a signal reflected from surrounding targets. According to Doppler effect, we can find out the speed and distance of targets by analyzing the signal. However, developing a car radar costs lots of time to measure and collect data on the road. Therefore, we proposed a radar target simulator which transmits a FMCW radar signal as a “received signal” of a car radar. With the proposed system, there is no need to collect data on the road and it can reduce the development time of car radar.
[1] Avinash Singh Yadav and Prof. Sanjiv Kumar“A Review Paper on Radar System”, IJIRST || National Conference on Innovations in Micro-electronics, Signal Processing and Communication Technologies, February 2016
[2] Ossberger, G., T. Buchegger, E. Schimback, A. Stelzer, and R. Weigel, “Non-invasive respiratory movement detection and monitoring of hidden humans using ultra wideband pulse radar,” Proc. of the 2004 International Workshop on Ultra Wideband Systems Joint with Conference on Ultra Wideband Systems and Technologies, 395–399, Piscataway, NJ, USA, 2004.
[3] A. G. Stove, “Linear FMCW radar techniques,” Proc. Inst. Elect. Eng. F(Radar Signal Process.), vol. 139, no. 5, pp. 343–350, Oct. 1992.
[4] M. Skolnik, “Introduction to radar systems”, 2nd Edition, McGraw-Hill, Inc 1980, page 44.
[5] B. G. Quinn, “Doppler speed and range estimation using frequency and amplitude estimates,” J. Acoust. Soc. Amer., vol. 98, no. 5, pp. 2560–2566, Nov. 1996.
[6] Christian Wolff(1998). The Radar Range Equation. Retrieved from
http://www.radartutorial.eu/01.basics/The%20Radar%20Range%20Equation.en.html (January 16, 2017)
[7] Christian Wolff(1998). Radar Cross Section. Retrieved from
http://www.radartutorial.eu/01.basics/Radar%20Cross%20Section.en.html
(January 16, 2017)
