本文選題：信號(hào)檢測(cè)　切入點(diǎn)：Duffing振子　出處：《哈爾濱工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：信號(hào)檢測(cè)是通信領(lǐng)域的重要環(huán)節(jié),無(wú)論是合作方抑制頻偏的信號(hào)接收還是非合作方掃描信號(hào)的信號(hào)檢測(cè),都需要先準(zhǔn)確地檢測(cè)到信號(hào)的載波頻率。而現(xiàn)代通信要求在更低的信噪比條件下,利用更少的先驗(yàn)知識(shí),檢測(cè)更復(fù)雜的信號(hào),為此人們提出利用非線性方法代替?zhèn)鹘y(tǒng)的線性方法實(shí)現(xiàn)低信噪比的信號(hào)檢測(cè)。非線性方法對(duì)噪聲的抵抗能力強(qiáng),能夠在更低的信噪比條件下檢測(cè)信號(hào),但是目前還停留在理論階段,沒(méi)有實(shí)際應(yīng)用。Duffing振子作為混沌理論的典型代表是一個(gè)很好的非線性系統(tǒng),能夠用來(lái)檢測(cè)信號(hào)的載波頻率,但是傳統(tǒng)的基于Duffing振子的信號(hào)檢測(cè)方法都是在寬帶噪聲的基礎(chǔ)上研究的,而且只關(guān)注了一個(gè)信號(hào)的問(wèn)題。為此,本論文以高功率譜密度帶限高斯噪聲為基礎(chǔ),利用單音信號(hào)模擬信號(hào)之間的干擾,研究基于Duffing振子的新的信號(hào)檢測(cè)方法,以適合更加普遍的通信環(huán)境。本論文首先研究了Duffing振子的基本原理,對(duì)差分振子進(jìn)行分析,得到更合適的參數(shù)及閾值選擇方法。然后分析了高功率譜密度帶限噪聲對(duì)傳統(tǒng)的Duffing振子檢測(cè)信號(hào)方法的影響,驗(yàn)證了Duffing振子對(duì)噪聲和單音干擾的抵抗能力。進(jìn)而將噪聲帶入到Duffing振子的模型中,得到了在高功率譜密度帶限噪聲條件下的Duffing振子新?tīng)顟B(tài),理論推導(dǎo)了Duffing振子周期狀態(tài)出現(xiàn)概率隨策動(dòng)力幅值初始值的變化規(guī)律,并重新定義了廣義周期狀態(tài)和廣義混沌狀態(tài),通過(guò)檢測(cè)PSTR(周期狀態(tài)持續(xù)時(shí)間比重)穩(wěn)定值判斷Duffing振子狀態(tài)。隨后在此基礎(chǔ)上提出了廣義間歇混沌現(xiàn)象及理論,并建立了基于廣義間歇混沌的信號(hào)檢測(cè)方法。最后利用MATLAB設(shè)計(jì)了信號(hào)檢測(cè)平臺(tái),驗(yàn)證了在高功率譜密度帶限噪聲條件下,基于廣義間歇混沌的信號(hào)檢測(cè)方法在單信號(hào)和多信號(hào)檢測(cè)中的可行性,并通過(guò)與其他檢測(cè)方法的比較,驗(yàn)證了該方法的優(yōu)越性。
[Abstract]:Signal detection is an important link in the field of communication. Modern communications require less prior knowledge to detect more complex signals under lower signal-to-noise ratio (SNR) conditions. Therefore, the nonlinear method is proposed to replace the traditional linear method to detect the signal with low SNR. The nonlinear method has strong resistance to noise and can detect the signal under the condition of lower SNR. But at present, it is still in the theoretical stage, and no practical application of .duffing oscillator as a typical representative of chaotic theory is a good nonlinear system, which can be used to detect the carrier frequency of the signal. However, the traditional signal detection methods based on Duffing oscillator are studied on the basis of wideband noise, and only one signal problem is concerned. Therefore, this paper is based on high power spectral density band-limited Gao Si noise. A new signal detection method based on Duffing oscillator is studied by using the interference between the analog signals of single tone signal, which is suitable for more general communication environment. In this paper, the basic principle of Duffing oscillator is studied, and the differential oscillator is analyzed. A more suitable parameter and threshold selection method is obtained, and then the influence of high power spectral density band-limited noise on the traditional Duffing oscillator detection signal method is analyzed. The ability of Duffing oscillator to resist noise and monophonic interference is verified. Furthermore, the noise is introduced into the model of Duffing oscillator, and a new state of Duffing oscillator is obtained under the condition of high power spectral density band-limited noise. The variation of the occurrence probability of the periodic state of the Duffing oscillator with the initial value of the amplitude of the excitation force is derived theoretically, and the generalized periodic state and the generalized chaotic state are redefined. The state of Duffing oscillator is judged by detecting the stable value of PSTR (periodic state duration specific gravity). Based on this, the generalized intermittent chaos phenomenon and its theory are proposed. A signal detection method based on generalized intermittent chaos is established. Finally, a signal detection platform is designed by using MATLAB, which verifies that under the condition of high power spectral density band-limited noise, The feasibility of signal detection method based on generalized intermittent chaos in single signal detection and multi-signal detection is verified by comparing with other detection methods.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN911.23

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉海波;吳德偉;盧虎;王永慶;蔣文婷;;基于Duffing振子大周期態(tài)相軌跡的頻率測(cè)量方法[J];電子學(xué)報(bào);2013年10期

2 楊東升;李樂(lè);楊;汪剛;;基于雙耦合混沌振子的未知頻率弱信號(hào)檢測(cè)[J];東北大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年09期

3 吳勇峰;張世平;孫金瑋;Peter Rolfe;;環(huán)形耦合Duffing振子間的同步突變[J];物理學(xué)報(bào);2011年02期

4 陳維;孟晨;崔少輝;易鋒;;基于杜芬振子的微弱正弦信號(hào)頻率測(cè)量[J];計(jì)算機(jī)測(cè)量與控制;2010年09期

5 王玫;顏勇;張慧峰;;基于雙Duffing振子差分的微弱信號(hào)頻率檢測(cè)[J];電路與系統(tǒng)學(xué)報(bào);2010年02期

6 張勇;紀(jì)國(guó)宜;;基于混沌振子和小波理論檢測(cè)微弱信號(hào)的研究[J];電子測(cè)量技術(shù);2009年06期

7 賈繼德;;應(yīng)用高階時(shí)頻分析方法診斷汽油機(jī)故障[J];內(nèi)燃機(jī)工程;2009年01期

8 許碧榮;;基于Duffing系統(tǒng)方波信號(hào)頻率檢測(cè)[J];桂林電子科技大學(xué)學(xué)報(bào);2008年04期

9 王永生;姜文志;趙建軍;范洪達(dá);;一種Duffing弱信號(hào)檢測(cè)新方法及仿真研究[J];物理學(xué)報(bào);2008年04期

10 李楠;劉福;;微弱信號(hào)檢測(cè)的3種非線性方法[J];電力自動(dòng)化設(shè)備;2008年04期

相關(guān)博士學(xué)位論文 前3條

1 靳曉艷;基于先進(jìn)信號(hào)處理方法的通信信號(hào)調(diào)制識(shí)別技術(shù)研究[D];西安電子科技大學(xué);2014年

2 黃家閩;穩(wěn)定分布噪聲背景下非線性系統(tǒng)的隨機(jī)共振現(xiàn)象研究[D];浙江大學(xué);2012年

3 吳冬梅;基于達(dá)芬振子的微弱信號(hào)檢測(cè)方法研究[D];哈爾濱工程大學(xué);2010年

相關(guān)碩士學(xué)位論文 前1條

1 鄭仕譜;基于隨機(jī)共振的弱信號(hào)提取方法研究[D];浙江大學(xué);2014年

，

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