混沌調(diào)頻雷達(dá)成像仿真
Chaotic FM Radar Imaging Simulation
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摘要: 混沌調(diào)頻信號類似隨機信號，具有較強的抗干擾性能(ECCM)。為了提高成像雷達(dá)的抗干擾性能，該文把混沌調(diào)頻信號用于成像雷達(dá)系統(tǒng)，使用n-Way Bernoulli映射產(chǎn)生混沌序列，用該混沌序列進(jìn)行頻率調(diào)制得到的信號具有良好的自相關(guān)特性，不但可以獲得高分辨率雷達(dá)圖像，還使雷達(dá)波形難于辨識。該文分析了信號模型，對點目標(biāo)進(jìn)行了仿真，分析了脈沖壓縮波形的旁瓣特性。結(jié)果表明，混沌調(diào)頻信號用于成像雷達(dá)系統(tǒng)可獲得比較理想的點目標(biāo)圖像，在成像雷達(dá)系統(tǒng)中有良好的應(yīng)用前景。
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關(guān)鍵詞:
- 混沌;混沌調(diào)頻信號;成像雷達(dá);合成孔徑雷達(dá)
Abstract: Chaotic FM signal is similar to random signal. It has good Electronic Counter-Counter Measure (ECCM) capabilities. In this paper, chaotic FM signal is used to improve the ECCM capabilities of imaging radar. A kind of chaotic series was generated using n-Way Bernoulli map. The signals modulated by this kind of series have ideal auto-correlation property. High resolution image can be achieved using these signals. However, the waveform is very hard to estimate. In this paper, the chaotic FM signal model is discussed, and point target imaging is simulated. The simulation result shows that ideal point target image can be achieved using chaotic FM signal, which has good prospects to be applied in imaging radar system. -
沈穎，劉國歲．混沌在雷達(dá)信息處理中的應(yīng)用前景．南京理工大學(xué)學(xué)報, 1999, 23(4): 378381. .[2]沈穎，劉國歲．混沌相位調(diào)制雷達(dá)信號的模糊函數(shù)．電子科學(xué)學(xué)刊, 2000, 22(1): 5560. .[3]袁永斌, 徐繼鱗, 等. 一種混沌雷達(dá)波形的模糊函數(shù). 電子科學(xué)學(xué)刊, 1998, 20(5): 641647. .[4]袁永斌. 混沌信號及在雷達(dá)系統(tǒng)中的應(yīng)用研究. [博士論文], 成都：電子科技大學(xué)，1999.[5]Wu X, Liu W, Zhao L, Fu Jeffrey. Chaotic phase code for radar pulse compression. IEEE National Radar Conference Proceedings,Atlanta, GA, 2001: 279.283.[6]Flores B C, Solis E A, et al.. Chaotic signals for wideband radar imaging. Proceedings of SPIE--The International Society for Optical Engineering. Orlando, FL, United States, 2002. Vol. 4727: 100.106.[7]張澄波. 綜合孔徑雷達(dá)：原理、系統(tǒng)分析與應(yīng)用. 北京：科學(xué)出版社，1989: 第三章.[8]Axelsson S R J. Noise radar for range/doppler processing and digital beam forming using low-bit ADC[J].IEEE Trans. on Geosciences and Remote Sensing.2003, 41(12):2703- -
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