本文關(guān)鍵詞： 艦船目標(biāo)識(shí)別 一維距離像 K分布海雜波 海雜波抑制　出處：《電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著高分辨雷達(dá)技術(shù)的日趨成熟,雷達(dá)目標(biāo)自動(dòng)識(shí)別技術(shù)在對(duì)海作戰(zhàn)、港口管理和海上搜救等方面發(fā)揮了重要的作用。高分辨一維距離像能夠反映目標(biāo)散射中心沿雷達(dá)徑向的分布情況,具備數(shù)據(jù)容易獲取、處理相對(duì)簡(jiǎn)單等優(yōu)點(diǎn),受到了國(guó)內(nèi)外許多學(xué)者的關(guān)注和研究�；谝痪S距離像的目標(biāo)識(shí)別算法,大多集中于飛機(jī)、導(dǎo)彈等空中目標(biāo),而艦船一維距離像受到的干擾主要來自海雜波,其特性與低分辨雷達(dá)瑞利雜波有所不同,大量研究表明,高分辨雷達(dá)海雜波的分布特性可以用K分布模型準(zhǔn)確描述,因此,本文對(duì)K分布海雜波背景下的艦船目標(biāo)一維距離像識(shí)別進(jìn)行了研究,主要工作內(nèi)容如下:1.以雷達(dá)目標(biāo)的點(diǎn)散射中心模型為基礎(chǔ),論述了解線性調(diào)頻技術(shù)的基本原理,并對(duì)該技術(shù)的處理過程進(jìn)行了計(jì)算機(jī)仿真,得到了三類艦船目標(biāo)在寬帶雷達(dá)下的一維距離像。研究分析了艦船目標(biāo)一維距離像的三大敏感特性及其克服方法,并進(jìn)行了仿真驗(yàn)證。2.介紹了海雜波的K分布模型,研究了其對(duì)艦船目標(biāo)一維距離像的成像以及形狀參數(shù)和尺度參數(shù)對(duì)特征提取的影響,并和同等信雜比條件下的瑞利雜波進(jìn)行了對(duì)比分析。3.論述了模式識(shí)別領(lǐng)域中幾種經(jīng)典的特征提取和分類器設(shè)計(jì)方法,結(jié)合仿真數(shù)據(jù),分析了這些方法各自的優(yōu)缺點(diǎn)。利用不同的特征提取方法和分類器,對(duì)K分布海雜波背景下的艦船目標(biāo)進(jìn)行一維距離像識(shí)別,通過蒙特卡洛實(shí)驗(yàn),對(duì)比了上述特征提取方法和分類器的性能及計(jì)算效率。4.研究了基于AR模型和基于奇異值分解的兩種海雜波抑制技術(shù),并將兩者應(yīng)用于低信雜比情況下的艦船目標(biāo)一維距離像識(shí)別,通過理論分析和仿真實(shí)驗(yàn),對(duì)比了兩種海雜波抑制技術(shù)各自的優(yōu)缺點(diǎn),其中基于AR模型的海雜波抑制技術(shù)的性能相對(duì)更好。艦船目標(biāo)一維距離像受海雜波影響,導(dǎo)致特征的類間趨同性增加,通過引入海雜波抑制技術(shù),可以提高低信雜比條件下的艦船目標(biāo)一維距離像識(shí)別性能。
[Abstract]:With the development of high-resolution radar technology, automatic radar target recognition technology is fighting against the sea. Port management and maritime search and rescue play an important role. High-resolution one-dimensional range profiles can reflect the radial distribution of the target scattering center along the radar, and have the advantages of easy data acquisition and relatively simple processing. Many scholars at home and abroad have paid close attention to it. The target recognition algorithm based on one-dimensional range profile is mostly focused on aircraft, missile and other air targets, while the interference of ship one-dimensional range image is mainly from sea clutter. It is different from Rayleigh clutter in low resolution radar. A large number of studies show that the distribution characteristics of sea clutter in high resolution radar can be accurately described by K distribution model. In this paper, the recognition of one-dimensional range profile of ship target in the background of K-distributed sea clutter is studied. The main work is as follows: 1. Based on the point scattering center model of radar target, the basic principle of linear frequency modulation (LFM) technology is discussed. The processing process of this technology is simulated, and the one-dimensional range profile of three kinds of ship targets under wideband radar is obtained. The three sensitive characteristics of the one-dimensional range profile of ship targets and their overcoming methods are studied and analyzed. Secondly, the K distribution model of sea clutter is introduced, and the influence of shape parameters and scale parameters on feature extraction is studied. And compared with Rayleigh clutter under the same signal-to-clutter ratio. 3. Several classical feature extraction and classifier design methods in the field of pattern recognition are discussed, and the simulation data are combined. The advantages and disadvantages of these methods are analyzed. Different feature extraction methods and classifiers are used to identify ship targets under the background of K-distributed sea clutter. The performance and computational efficiency of the above feature extraction methods and classifiers are compared. 4. Two kinds of sea clutter suppression techniques based on AR model and singular value decomposition are studied. The two methods are applied to the range profile recognition of ship targets with low signal-to-clutter ratio. Through theoretical analysis and simulation experiments, the advantages and disadvantages of the two kinds of sea clutter suppression techniques are compared. The performance of sea clutter suppression technology based on AR model is better. The one-dimensional range profile of ship target is affected by sea clutter, which leads to the increase of inter-class convergence of features. The range profile recognition performance of ship target under low signal-to-clutter ratio can be improved.
【學(xué)位授予單位】：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)】：TN957.52

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相關(guān)期刊論文 前1條

1 冷家旭;黃惠明;龍方;;基于剪輯支持向量機(jī)的雷達(dá)目標(biāo)識(shí)別方法[J];艦船電子工程;2010年04期

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本文編號(hào)：1507328