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Range and azimuth resolution enhancement for 94 GHz real-beam radar

机译:94 GHz实时波束雷达的距离和方位分辨率增强

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In this paper, two-dimensional (2D) (range and azimuth) resolution enhancement is investigated for millimeter wave (mmW) real-beam radar (RBR) with linear or non-linear antenna scan in the azimuth dimension. We design a new architecture of super resolution processing, in which a dual-mode approach is used for defining region of interest for 2D resolution enhancement and a combined approach is deployed for obtaining accurate location and amplitude estimations of targets within the region of interest. To achieve 2D resolution enhancement, we first adopt the Capon Beamformer (CB) approach (also known as the minimum variance method (MVM)) to enhance range resolution. A generalized CB (GCB) approach is then applied to azimuth dimension for azimuth resolution enhancement. The GCB approach does not rely on whether the azimuth sampling is even or not and thus can be used in both linear and non-linear antenna scanning modes. The effectiveness of the resolution enhancement is demonstrated by using both simulation and test data. The results of using a 94 GHz real-beam frequency modulation continuous wave (FMCW) radar data show that the overall image quality is significantly improved per visual evaluation and comparison with respect to the original real-beam radar image.
机译:本文研究了二维(2D)(距离和方位角)分辨率增强技术,用于在方位角方向上进行线性或非线性天线扫描的毫米波(mmW)实时波束雷达(RBR)。我们设计了一种新的超分辨率处理体系结构,其中双模方法用于定义2D分辨率增强的目标区域,而组合方法则用于获得目标区域内目标的精确位置和幅度估计。为了实现2D分辨率增强,我们首先采用Capon Beamformer(CB)方法(也称为最小方差方法(MVM))来增强距离分辨率。然后将通用CB(GCB)方法应用于方位角尺寸,以增强方位角分辨率。 GCB方法不依赖于方位采样是否均匀,因此可以在线性和非线性天线扫描模式下使用。通过使用仿真和测试数据,可以证明分辨率增强的有效性。使用94 GHz实光束调频连续波(FMCW)雷达数据的结果表明,相对于原始的实光束雷达图像,通过视觉评估和比较,整体图像质量得到了显着改善。

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