本文關(guān)鍵詞： 激光雷達(dá) 經(jīng)典鬼成像 計(jì)算鬼成像 壓縮感知 壓縮鬼成像　出處：《南京理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：傳統(tǒng)的激光雷達(dá)在遠(yuǎn)距離目標(biāo)探測(cè)中很難同時(shí)滿足成像速度、靈敏度以及抗干擾能力等方面的性能需要。然而,鬼成像理論可以使得激光雷達(dá)具備更強(qiáng)的抗干擾性能;壓縮感知理論則可以大大減少采樣次數(shù),提高成像速度。本文將這兩者結(jié)合,研究了壓縮鬼成像算法,并基于該理論搭建了一套雷達(dá)樣機(jī)系統(tǒng),探索了它在實(shí)際目標(biāo)探測(cè)成像中的應(yīng)用,具有更加優(yōu)異的成像性能。主要內(nèi)容包括:1)經(jīng)典鬼成像理論的數(shù)學(xué)推導(dǎo):本文通過(guò)符合測(cè)量和二階關(guān)聯(lián)理論,推導(dǎo)了鬼成像的數(shù)學(xué)關(guān)系式;研究了贗熱光源的數(shù)學(xué)表達(dá),闡釋了其具有和真熱光源相似的特性,證明了贗熱光源鬼成像的可行性。2)壓縮鬼成像算法的原理:本文首先從統(tǒng)計(jì)學(xué)角度,闡述了計(jì)算鬼成像的實(shí)現(xiàn)原理;接著,解釋了壓縮感知理論,指出常見(jiàn)探測(cè)目標(biāo)滿足壓縮感知所需要的稀疏性條件,進(jìn)而推導(dǎo)了 CS算法在計(jì)算鬼成像中應(yīng)用的可行性,就此提出壓縮鬼成像算法;最后,通過(guò)二值目標(biāo)和灰度目標(biāo)的仿真以及實(shí)驗(yàn),驗(yàn)證了該算法。3)稀疏約束鬼雷達(dá)的樣機(jī)研制:本文基于壓縮鬼成像算法搭建了一套激光雷達(dá)樣機(jī)系統(tǒng),該系統(tǒng)結(jié)構(gòu)精簡(jiǎn)、原理清晰。通過(guò)選取遠(yuǎn)處靶標(biāo)進(jìn)行探測(cè)表明,稀疏約束鬼雷達(dá)在成像速度和質(zhì)量等多個(gè)方面相對(duì)于傳統(tǒng)激光雷達(dá)具有明顯優(yōu)勢(shì)。4)鬼成像中的散斑正交化研究:贗熱光源中毛玻璃形成的散斑場(chǎng)呈復(fù)高斯圓分布,所以對(duì)應(yīng)的散斑強(qiáng)度滿足二項(xiàng)式分布,雖然滿足算法需要,但其非正交的特性限制了成像質(zhì)量。因此,提出一種散斑正交化的方法,將二項(xiàng)式分布轉(zhuǎn)換為正交分布。該方法在不增加額外采樣時(shí)間的條件下,顯著地提高了重建目標(biāo)的信噪比。
[Abstract]:It is difficult for traditional lidar to simultaneously meet the requirements of imaging speed, sensitivity and anti-jamming ability in long-range target detection. Ghost imaging theory can make lidar have stronger anti-jamming performance. Compression sensing theory can greatly reduce the number of samples and improve the imaging speed. In this paper, the compression ghost imaging algorithm is studied, and a radar prototype system is built based on the theory. Its application in the actual target detection imaging is explored, and it has better imaging performance. The main contents include the mathematical derivation of the classical ghost imaging theory: the coincidence measurement and the second-order correlation theory are adopted in this paper. The mathematical relation of ghost imaging is deduced. The mathematical expression of pseudo thermal light source is studied, and its characteristics similar to that of true heat source are explained. The feasibility of ghost imaging with pseudo thermal light source. 2) the principle of compressed ghost imaging algorithm is proved. The principle of calculating ghost imaging is described. Then, the theory of compressed sensing is explained, and the sparsity condition of compressed sensing is pointed out. Then, the feasibility of CS algorithm in calculating ghost imaging is deduced. In this paper, a compressed ghost imaging algorithm is proposed. Finally, through the simulation and experiment of binary target and gray target, it is verified that the algorithm. 3) the prototype of sparse constrained ghost radar is developed. In this paper, a set of laser radar prototype system based on compressed ghost imaging algorithm is built. The structure of the system is simple and the principle is clear. Sparse constrained ghost radar has obvious advantages over conventional lidar in imaging speed and quality. Speckle Orthogonalization in Ghost Imaging: the speckle field formed by the ground glass in the pseudo-thermal light source is distributed in a complex Gao Si circle. Therefore, the corresponding speckle intensity meets the binomial distribution, although it meets the needs of the algorithm, but its non-orthogonal characteristics limit the imaging quality. Therefore, a speckle orthogonalization method is proposed. The binomial distribution is transformed into orthogonal distribution, and the SNR of the reconstructed target is significantly improved without adding extra sampling time.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN958.98

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 楊照華;李大鵬;彭宏韜;吳令安;;基于閾值分割的并行壓縮鬼成像方法[J];光學(xué)技術(shù);2016年04期

2 梅笑冬;龔文林;嚴(yán)毅;韓申生;曹清;;可預(yù)置強(qiáng)度關(guān)聯(lián)激光三維成像雷達(dá)實(shí)驗(yàn)研究[J];中國(guó)激光;2016年07期

3 韓笑純;黃靖正;方晨;曾貴華;;群速度色散對(duì)于糾纏光場(chǎng)二階關(guān)聯(lián)函數(shù)影響的研究[J];物理學(xué)報(bào);2015年07期

4 駱社周;習(xí)曉環(huán);王成;;激光雷達(dá)遙感在文化遺產(chǎn)保護(hù)中的應(yīng)用[J];遙感技術(shù)與應(yīng)用;2014年06期

5 仲亞軍;劉嬌;梁文強(qiáng);趙生妹;;針對(duì)多散斑圖的差分壓縮鬼成像方案研究[J];物理學(xué)報(bào);2015年01期

6 趙一鳴;李艷華;商雅楠;李靜;于勇;李涼海;;激光雷達(dá)的應(yīng)用及發(fā)展趨勢(shì)[J];遙測(cè)遙控;2014年05期

7 任越美;張艷寧;李映;;壓縮感知及其圖像處理應(yīng)用研究進(jìn)展與展望[J];自動(dòng)化學(xué)報(bào);2014年08期

8 劉效勇;曹益平;盧佩;;基于壓縮感知的光學(xué)圖像加密技術(shù)研究[J];光學(xué)學(xué)報(bào);2014年03期

9 王強(qiáng);李佳;沈毅;;壓縮感知中確定性測(cè)量矩陣構(gòu)造算法綜述[J];電子學(xué)報(bào);2013年10期

10 焦佳;趙成強(qiáng);崔麗君;徐文東;;基于隨機(jī)相位板掃描的可重復(fù)贗熱光源研究[J];光學(xué)學(xué)報(bào);2013年09期

相關(guān)碩士學(xué)位論文 前2條

1 尚杰;熱光源高階關(guān)聯(lián)成像質(zhì)量研究[D];遼寧大學(xué);2014年

2 張二峰;二階和高階關(guān)聯(lián)成像研究[D];國(guó)防科學(xué)技術(shù)大學(xué);2010年

，

本文編號(hào)：1469469