復(fù)雜背景超寬帶穿墻雷達(dá)成像研究
本文選題:超寬帶穿墻雷達(dá) + 雜波抑制。 參考:《南京信息工程大學(xué)》2017年碩士論文
【摘要】:超寬帶穿墻探測技術(shù)是近年來新興的一種非侵入式探測技術(shù),利用電磁波信號穿透非金屬障礙物并對目標(biāo)進(jìn)行探測及成像。由于其較強(qiáng)的穿透能力以及較高的距離分辨率,超寬帶穿墻探測技術(shù)被廣泛地應(yīng)用于軍用和民用領(lǐng)域。在超寬帶穿墻雷達(dá)的應(yīng)用中,目標(biāo)信號通常會淹沒于墻體雜波信號之中,無法進(jìn)行目標(biāo)檢測及成像。此外,利用傾斜天線陣列接收的回波信號進(jìn)行墻體后場景圖像的重建,同樣影響目標(biāo)定位的準(zhǔn)確性。針對上述問題,本文的主要內(nèi)容包括:(1)研究了現(xiàn)有的基于熵值的墻體雜波抑制算法,該算法存在門限可調(diào)范圍受限,且需要對成像區(qū)域進(jìn)行多次掃描等問題;跀U(kuò)展信源熵值理論,本文提出了一種改進(jìn)的墻體雜波抑制算法。與現(xiàn)有算法相比,在測量方式相同的情況下,本文算法的雜波抑制效果更優(yōu),同時能夠在保證成像效果的前提下減少天線掃描次數(shù),降低了穿墻成像雷達(dá)的復(fù)雜度。(2)討論了由于天線掃描軌跡或天線陣列傾斜于墻體而造成的目標(biāo)成像錯位和畸變的問題。現(xiàn)有的文獻(xiàn)中,穿墻雷達(dá)成像模型通常假設(shè)天線緊貼墻體或平行于墻體放置。然而,在實(shí)際應(yīng)用中無法保證這一前提。研究表明天線掃描軌跡或天線陣列與墻體之間存在的未知傾角,會導(dǎo)致現(xiàn)有算法失效,即成像圖中目標(biāo)會發(fā)生錯位和畸變,影響目標(biāo)檢測及定位的精度。針對該問題,本文基于電磁波逆時傳播原理提出一種基準(zhǔn)面校正算法,并且通過實(shí)驗(yàn)證明了該算法能夠有效地消除未知傾角造成的影響。
[Abstract]:Ultra-Wideband Wall Detection (UWB) is a new non-invasive detection technique in recent years, which uses electromagnetic wave signal to penetrate non-metallic obstacles and to detect and image targets. Because of its strong penetration ability and high range resolution, UWB wall detection technology has been widely used in military and civil fields. In the application of UWB wall-penetrating radar, the target signal is usually submerged in the wall-clutter signal, so the target detection and imaging can not be carried out. In addition, the echo signal received by tilted antenna array is used to reconstruct the scene image behind the wall, which also affects the accuracy of target location. Aiming at the above problems, the main contents of this paper include: 1) the existing entropy based wall clutter suppression algorithm is studied. The threshold range is limited and the imaging region needs to be scanned several times. Based on the extended source entropy theory, an improved wall clutter suppression algorithm is proposed in this paper. Compared with the existing algorithms, the clutter suppression effect of this algorithm is better than that of the existing algorithms, and it can reduce the number of antenna scans under the premise of ensuring the imaging effect. In this paper, the complexity of wall-penetrating imaging radar is reduced. (2) the problem of target imaging dislocation and distortion caused by antenna scanning track or antenna array tilting to the wall is discussed. In the existing literature, the radar imaging model usually assumes that the antenna is placed close to or parallel to the wall. However, this premise cannot be guaranteed in practical application. The results show that the scanning trajectory or the unknown inclination between the antenna array and the wall will lead to the failure of the existing algorithms, that is, the target will be mislocated and distorted in the imaging map, which will affect the accuracy of target detection and location. In order to solve this problem, a datum correction algorithm based on the principle of electromagnetic inverse time propagation is proposed, and it is proved by experiments that the algorithm can effectively eliminate the influence caused by unknown inclination angle.
【學(xué)位授予單位】:南京信息工程大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN957.52
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