基于類洛倫茨系統(tǒng)的微弱信號(hào)檢測(cè)方法研究及其電路實(shí)現(xiàn)
[Abstract]:For the traditional weak signal detection method, the SNR of the input signal is difficult to reduce and is limited to some extent. The method of detecting weak signal based on chaos theory makes up for this defect, and can achieve extremely low signal-to-noise ratio (SNR) and improve the accuracy of detection. In this paper, the research is carried out. Based on the study of chaos theory, a weak signal detection system is designed in this paper. The effectiveness of using chaos theory to detect weak signal is verified by modeling, simulation and practical circuit design. On the basis of analyzing and studying the basic characteristics of chaos, the concrete model of Lorenz-like system is given and analyzed in detail. A two-parameter chaos control method is proposed, which can control the system in the desired periodic orbit. This method avoids calculating the exact amplitude of excitation signal and improves the working efficiency and controllability. According to the characteristic that a particular chaotic system is immune to noise due to its sensitivity to parameters, a weak signal detection model based on Lorenz (Lorentz)-like system is constructed by using the two-parameter control method. The theoretical analysis verifies that the detection system has the characteristic of detecting low frequency weak periodic signal. Through the concrete simulation experiment, the weak signal detection under the background of noise is successfully realized, the effect is remarkable and the signal-to-noise ratio is low, which indicates that it is feasible to use the similar Lorenz system to detect the weak signal. In order to verify the effectiveness of the practical application of the chaotic detection method, a chaotic detection experimental circuit is built in this paper in view of the fact that the weak signal detection in the chaotic system is still in the state of simulation. According to the analysis of the circuit characteristics, the principle block diagram of the organization structure to realize the weak signal detection is presented, the modular design is adopted, and the DSP digital signal processing technology is used to generate the periodic excitation signal. The amplitude and frequency can be controlled flexibly. Then the operational amplifier and resistive capacitance and other components to make the actual detection circuit. The actual circuit of weak signal chaotic detection is built, and the weak signal is detected by judging the obvious change of phase locus in oscilloscope. The innovation of this paper is that the two-parameter control method is proposed to control chaos, and this method is applied to weak signal detection based on Lorenz system. The effectiveness of the method is verified by the matlab simulation experiment and the actual circuit experiment at the same time. At the same time, under the condition that the weak signal detection in the current chaotic system has not been fully applied to the realization of the specific circuit, this paper makes a concrete circuit experiment on the Lorenz like chaotic detection system. The experimental results of the circuit are consistent with the theoretical analysis, which provides a simple and effective detection device for the practical engineering application of weak signal detection. It has a good application prospect, and makes a meaningful exploration for the weak signal detection.
【學(xué)位授予單位】:杭州電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN911.23
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 江明輝;付文芳;方勝樂;;一個(gè)三維混沌系統(tǒng)的控制與同步[J];電機(jī)與控制學(xué)報(bào);2009年S1期
2 王德石;諶龍;史躍東;;基于受控Lorenz系統(tǒng)的微弱脈沖信號(hào)檢測(cè)[J];動(dòng)力學(xué)與控制學(xué)報(bào);2010年01期
3 趙文禮;黃振強(qiáng);趙景曉;;基于Duffing振子的微弱信號(hào)檢測(cè)方法及其電路的實(shí)現(xiàn)[J];電路與系統(tǒng)學(xué)報(bào);2011年06期
4 李賢麗,李賢善,趙逢達(dá);Rossler系統(tǒng)的混沌控制[J];大慶石油學(xué)院學(xué)報(bào);2004年03期
5 王冠宇,陳大軍,林建亞,陳行;Duffing振子微弱信號(hào)檢測(cè)方法的統(tǒng)計(jì)特性研究[J];電子學(xué)報(bào);1998年10期
6 李春劍;吉望西;劉達(dá)倫;;基于DDS橢圓型低通濾波器的設(shè)計(jì)[J];國外電子測(cè)量技術(shù);2009年01期
7 彭靜;彭承琳;;混沌理論和方法在醫(yī)學(xué)信號(hào)處理中的應(yīng)用[J];國際生物醫(yī)學(xué)工程雜志;2006年02期
8 方錦清;混沌控制及其應(yīng)用前景[J];科技導(dǎo)報(bào);1994年05期
9 袁地;侯越;;一個(gè)三維非線性系統(tǒng)的混沌運(yùn)動(dòng)及其控制[J];控制理論與應(yīng)用;2009年04期
10 王林澤;高艷峰;李子鳴;;基于新蝶狀模型的混沌控制及其應(yīng)用研究[J];控制理論與應(yīng)用;2012年07期
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