雙譜用于毫米波雷達(dá)目標(biāo)特征提取的研究
A STUDY OF FEATURE EXTRACTION FOR mmW RADAR BY USING BISPECTRUM TECHNOLOGY
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摘要: 在毫米波雷達(dá)系統(tǒng)中,信噪比對(duì)作用距離的影響很大。本文利用雙譜技術(shù)提取出目標(biāo)信號(hào)雙譜的局部相位信息作為特征矢量;該特征良好的抗噪性大大降低了目標(biāo)識(shí)別對(duì)雷達(dá)系統(tǒng)信噪比的要求,從而提高了毫米波雷達(dá)的靈敏度及作用距離。
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關(guān)鍵詞:
- 高階累積量; 雙譜; 毫米波雷達(dá); 特征矢量; 系統(tǒng)噪聲
Abstract: In mmW radar system, SNR affect heavily on radar range. To lower the SNR demand of target recognition, a new approach of feature extraction based on the bispectrum technique is presented. The feature vectors defined from bispectrum have high stability even when SNR is very low. Thus, the sensitivity and range of mmW radar are improved. -
李興國(guó).毫米波近感技術(shù)及其應(yīng)用.北京:國(guó)防工業(yè)出版社,1991, 57-69.[2]Chandran V. Pattern recognition using invariants defined from higher order spectra-one-dimensional inputs. IEEE Trans. on Signal Processing, 1993, SP-41(1): 205-211.[3]Walton E K. Bispectrum of radar signatures and application to target classification[J].Radio Science.1990, 25(2):101-113[4]王宏禹.現(xiàn)代譜估計(jì).南京:東南大學(xué)出版社,1990,304-367.[5]文樹(shù)梁.基于雙距離象的雷達(dá)目標(biāo)識(shí)別技術(shù).現(xiàn)代雷達(dá),1996,18(1): 15-21.[6]Oppenheim A V. The importance of phase in signals[J].Proc. IEEE.1981, 69(5):529-541 -
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