微弱周期脈沖信號的取樣積分-混沌系統(tǒng)聯(lián)合檢測方法
The United Detecting Method of Sampling Integral and Chaotic System for the Weak Periodic Pulse Signals
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摘要: 為提高混沌系統(tǒng)檢測微弱周期脈沖信號的能力，提出把取樣積分與混沌系統(tǒng)相結合的檢測方案。仿真結果表明在相同系統(tǒng)實驗背景下，相結合的檢測方案優(yōu)于不加取樣積分的檢測方法；周期脈沖信號占空比變小，使檢測到的最小脈沖幅度變大；輸入噪聲強度的降低可使檢測系統(tǒng)臨界相態(tài)簡化。Abstract: In order to improve the ability of chaotic system detecting weak periodic pulse signals, this paper proposes the detecting scheme uniting sampling integral with chaotic sys-tem. The simulation results indicate that the united detecting scheme precedes the detecting method without sampling integral under the same experimental background. Because occu-pied space ratio of the periodic pulse signals diminishes, the detected minimum amplitude increases. The intension decrease of input noise can simplify the critical phase state of detecting system.
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戴逸松.微弱信號檢測方法及儀器.北京:國防工業(yè)出版社,1994:268-275.[2]X.D. Zhang, Y. C. Liang. Prefilter-based ESPRIT for estimating parameters of sinusoids in non-Gaussiannoise. IEEE Trans. on Signal Processing, 1995, 45(1): 349-353.[3]Swami A, Mendei J M. Cumulant-based approach to the harmonic retrieval problem. In: Proc.ICASSP-88[C], New York, 1988: 2264-2267.[4]Ferri A, Alengrin G. Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics, Proc. ICASSP-91[C], Toronto, Canada, 1991: 3457-3460.[5]Roorda B, Hejj C. Global total least squares modeling of multivariable time series[J].IEEE Trans.on Automatic Control.1995, 40(1):50-63[6]Li Yue, Yang Bo jun. The chaotic detection of periodic short-impulse signals under strong noise background[J].Journal of Electronics (China.2002, 19(4):431-433 -
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