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一種基于廣義Duffing振子的水中弱目標(biāo)檢測方法

發(fā)布時(shí)間:2019-06-17 12:57
【摘要】:海洋環(huán)境中,在水下目標(biāo)的線譜頻率未知或者目標(biāo)輻射噪聲的連續(xù)譜很弱時(shí),很難實(shí)現(xiàn)水中弱目標(biāo)的準(zhǔn)確檢測,本文提出基于廣義Duffing振子檢測系統(tǒng)的水下目標(biāo)輻射噪聲檢測方法.通過對傳統(tǒng)周期擾動的Duffing振子信號檢測系統(tǒng)的分析和推廣,提出了一種可輸入非周期、非平穩(wěn)信號的廣義Duffing振子檢測系統(tǒng),可檢測輸入的無先驗(yàn)信息目標(biāo)信號.為實(shí)現(xiàn)廣義Duffing振子系統(tǒng)運(yùn)動狀態(tài)的精確、有效判斷,提出了一種相空間圖形的離散分布列計(jì)算方法,通過類網(wǎng)格函數(shù)實(shí)現(xiàn)了利用統(tǒng)計(jì)復(fù)雜度對系統(tǒng)輸出的嵌入式表征,從而實(shí)現(xiàn)了無先驗(yàn)信息時(shí)的水中弱目標(biāo)的嵌入式檢測.相同條件下與傳統(tǒng)檢測方法仿真對比可知,本文提出的方法可以檢測到更低信噪比下的目標(biāo),并能滿足水中檢測實(shí)時(shí)性要求.
[Abstract]:In marine environment, when the line spectrum frequency of underwater target is unknown or the continuous spectrum of target radiation noise is very weak, it is difficult to realize the accurate detection of weak target in water. In this paper, a method of underwater target radiation noise detection based on generalized Duffing oscillator detection system is proposed. Based on the analysis and generalization of the traditional Duffing oscillator signal detection system with periodic disturbance, a generalized Duffing oscillator detection system with input aperiodic and non-stationary signals is proposed, which can detect the target signal without prior information. In order to realize the accurate and effective judgment of the motion state of the generalized Duffing oscillator system, a discrete distributed column calculation method of phase space graph is proposed. The embedded representation of the system output by using the statistical complexity is realized by using the grid-like function, thus the embedded detection of the weak target in the water without prior information is realized. Compared with the traditional detection method under the same conditions, the proposed method can detect the target at lower signal-to-noise ratio (SNR), and can meet the real-time requirements of water detection.
【作者單位】: 海洋聲學(xué)信息感知工業(yè)和信息化部重點(diǎn)實(shí)驗(yàn)室(西北工業(yè)大學(xué));西北工業(yè)大學(xué)航海學(xué)院;
【基金】:國家自然科學(xué)基金(批準(zhǔn)號:61571365)資助的課題~~
【分類號】:P714


本文編號:2501005

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