【摘要】：在穿墻雷達成像中,墻體的強反射信號會干擾墻后目標的成像與檢測,甚至湮沒臨近墻體的目標.傳統(tǒng)的空域濾波法從回波幅值出發(fā),通過空間域線性濾波實現(xiàn)對墻體雜波的抑制.然而,該方法在墻體與目標臨近的情況下效果較差,且不適用于MIMO穿墻雷達.本文針對超寬帶MIMO穿墻雷達成像過程中墻體雜波抑制問題,提出了一種基于子空間投影的奇異值分解方法,該方法從信號回波的特征出發(fā),通過回波信號矩陣最主要的一個或幾個奇異值成分確定墻雜波子空間,再利用正交子空間投影去除回波信號中的墻雜波成分.MATLAB仿真結果表明,提出的墻體雜波抑制方法在消除墻體雜波對目標成像結果的影響方面效果更佳,還能消減隨機噪聲等弱干擾雜波,抑制多目標探測中的虛假成像,改善成像質量,實現(xiàn)目標的精確成像.
[Abstract]:In the radar imaging of the wall, the strong reflection signal of the wall will interfere with the imaging and detection of the target behind the wall, and even annihilate the target near the wall. Based on the echo amplitude, the traditional spatial filtering method can suppress the wall clutter by linear filtering in spatial domain. However, the effect of this method is poor when the wall is close to the target, and it is not suitable for MIMO wall-penetrating radar. In this paper, a singular value decomposition method based on subspace projection is proposed for the suppression of wall clutter in ultra-wideband (UWB) MIMO wall-penetrating radar imaging. The method is based on the characteristics of signal echo. The wall clutter subspace is determined by one or more singular value components of the echo signal matrix. The simulation results show that the wall clutter component is removed from the echo signal by orthogonal subspace projection. MATLAB simulation results show that, The proposed method is more effective in eliminating the influence of the wall clutter on the target imaging results. It can also reduce the random noise and other weak interference clutter, suppress the false imaging in multi-target detection, and improve the imaging quality. Accurate imaging to achieve the goal.
【作者單位】： 南京電子技術研究所;南京大學電子科學與工程學院;毫米波國家重點實驗室;
【基金】：毫米波國家重點實驗室開放課題(K201514)
【分類號】：TN957.52

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