【摘要】：基于正交基分解的磁性目標(biāo)檢測(cè)技術(shù)是近年來(lái)興起的一種新型的磁性目標(biāo)檢測(cè)技術(shù)。該項(xiàng)技術(shù)在軍事領(lǐng)域和海洋工程領(lǐng)域有著廣闊的應(yīng)用前景,例如探潛、探測(cè)掩埋水雷、勘探海底資源等。本論文分析了正交基分解檢測(cè)基本原理,通過(guò)對(duì)正交基分解檢測(cè)算法與典型數(shù)字濾波器的比較,表明正交基分解檢測(cè)算法對(duì)含有磁噪聲的磁異常信號(hào)具有較好的檢測(cè)能力。針對(duì)高斯白噪聲背景下的磁性目標(biāo)檢測(cè),分析正交基分解算法對(duì)信噪比的提升作用,提出多通道正交基分解檢測(cè)算法并對(duì)正交基特征時(shí)間、目標(biāo)與探測(cè)航線距離進(jìn)行估計(jì),分析正交基分解算法的檢測(cè)概率。但是,在實(shí)際檢測(cè)過(guò)程中,背景噪聲存在非高斯噪聲和有色噪聲的情況。針對(duì)非高斯背景噪聲下的磁性目標(biāo)檢測(cè),設(shè)計(jì)窄帶低通約束最小二乘FIR濾波器,提出預(yù)高斯化正交基分解檢測(cè)算法并對(duì)檢測(cè)效果進(jìn)行了仿真。針對(duì)有色背景噪聲下的磁性目標(biāo)檢測(cè),采用自回歸模型,設(shè)計(jì)白化濾波器,提出預(yù)白化正交基分解檢測(cè)算法并對(duì)檢測(cè)效果進(jìn)行了仿真。搭建磁性目標(biāo)檢測(cè)試驗(yàn)平臺(tái),通過(guò)陸上鐵磁性目標(biāo)檢測(cè)試驗(yàn),應(yīng)用正交基分解檢測(cè)算法將試驗(yàn)測(cè)量得到的兩種含有高斯白噪聲和磁干擾的磁異常信號(hào)的信噪比分別提升3.75d B和11.35d B,驗(yàn)證正交基分解檢測(cè)算法的有效性和實(shí)用性,取得了較好的檢測(cè)效果。最后,針對(duì)該論文研究過(guò)程中存在的不足之處進(jìn)行歸納和總結(jié),提出更進(jìn)一步的研究方向。
[Abstract]:Magnetic target detection technology based on orthogonal basis decomposition is a new magnetic target detection technology developed in recent years. The technology has broad application prospects in military and marine engineering fields, such as submarine exploration, buried mine detection, seabed resources exploration and so on. In this paper, the basic principle of orthogonal basis decomposition detection is analyzed. By comparing the orthogonal basis decomposition detection algorithm with the typical digital filter, it is shown that the orthogonal basis decomposition detection algorithm has a better ability to detect magnetic anomaly signals with magnetic noise. Aiming at magnetic target detection under Gao Si white noise background, this paper analyzes the effect of orthogonal basis decomposition algorithm on improving SNR, proposes a multi-channel orthogonal basis decomposition detection algorithm and estimates the characteristic time of orthogonal basis, the distance between target and detection route. The detection probability of orthogonal basis decomposition algorithm is analyzed. However, in the process of actual detection, there are non-Gao Si noise and colored noise in background noise. For magnetic target detection under non-Gao Si background noise, a narrowband low-pass constrained least squares FIR filter is designed, and a pre-Gao Si orthogonal basis decomposition detection algorithm is proposed and the detection effect is simulated. Aiming at magnetic target detection under colored background noise, a whitening filter is designed by using autoregressive model, and a prewhitening orthogonal basis decomposition detection algorithm is proposed and the detection effect is simulated. Set up the magnetic target detection test platform, pass the land ferromagnetic target detection test, The signal-to-noise ratio (SNR) of two kinds of magnetic anomaly signals with Gao Si white noise and magnetic interference were improved by using orthogonal basis decomposition detection algorithm, and the signal-to-noise ratio of two kinds of magnetic anomaly signals with Gao Si white noise and magnetic interference were increased by 3.75 dB and 11.35 dB, respectively. The validity and practicability of the orthogonal basis decomposition detection algorithm were verified. Good results have been obtained. Finally, the shortcomings of the research process are summarized and further research direction is put forward.
【學(xué)位授予單位】：中國(guó)艦船研究院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：E925.4;P714

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