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Numerical and experimental studies of target detection with MIMO radar

机译:MIMO雷达目标检测的数值和实验研究

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Spatially diverse multiple-input multiple-output (MIMO) radar systems combine multistatic measurements of the target under view into a single detection algorithm and are thereby expected to alleviate the effects of fading on target radar cross sections (RCS) as the angle of observation is varied. Previous analytical studies of target detection for this case have shown that MIMO radar detection performance can exceed that of the corresponding phased array radar if both sufficient spatial diversity and signal-to-noise ratio (SNR) are achieved. These results have been based on a statistical model for the multistatic RCS of the target that is similar to the traditional Swerling models of the monostatic RCS. The degree to which these results are applicable to specific target geometries therefore remains uncertain. To address this issue, two studies of MIMO radar target detection incorporating realistic RCS properties for specific target geometries were performed. The first study utilized a numerical method to compute the multistatic RCS of a helicopter-like target observed at center frequency 200 MHz, while the second involved radar measurements of an unmanned aerial vehicle (UAV) target at 2.75 and 4.5 GHz. MIMO radar configurations having two transmitters and either three (for the radar measurements) or four (numerical simulations) receivers were used. In both cases, multistatic received fields were combined with regulated thermal noise levels in postprocessing to study target detection performance. Because in general the azimuthal orientation of a specific target with respect to the radar is uncertain, the detection performance results shown are averaged over the azimuthal orientation angle of the target. The average over target orientation can also be interpreted as similar to an average over ???trials??? of a statistical target description, enabling comparisons of field properties averaged over target orientation with similar ensemble averages from the statistical - odels of the literature. Although detection performance curves for the specific targets considered are not identical to those predicted analytically by the statistical target model, results for these targets confirm that the MIMO radar system can achieve enhanced detection performance as compared with the corresponding phased array radar system.
机译:空间多样化的多输入多输出(MIMO)雷达系统将视线内目标的多静态测量值组合到单个检测算法中,因此随着观察角度的变化,有望减轻衰落对目标雷达横截面(RCS)的影响。多变。针对这种情况的目标检测的先前分析研究表明,如果同时获得足够的空间分集和信噪比(SNR),则MIMO雷达的检测性能可能会超过相应的相控阵雷达。这些结果基于目标的多静态RCS的统计模型,该模型与传统的单静态RCS的Swerling模型相似。因此,这些结果适用于特定目标几何形状的程度仍然不确定。为了解决这个问题,对MIMO雷达目标检测进行了两项研究,其中结合了针对特定目标几何的实际RCS属性。第一项研究使用数值方法计算在中心频率200 MHz处观测到的直升机状目标的多静态RCS,而第二项研究涉及在2.75 GHz和4.5 GHz处对无人机目标进行雷达测量。使用了具有两个发射机和三个(用于雷达测量)或四个(数值模拟)接收机的MIMO雷达配置。在这两种情况下,多静态接收场都与后处理中规定的热噪声水平相结合,以研究目标检测性能。因为一般而言,特定目标相对于雷达的方位角方向是不确定的,所以所示的检测性能结果是在目标的方位角上平均的。超过目标方向的平均值也可以解释为类似于“试验”的平均值。统计目标描述的实现,可以比较目标方向上平均的野外特性与文献统计资料中类似的总体平均值。尽管对于所考虑的特定目标的检测性能曲线与统计目标模型的分析预测结果并不相同,但这些目标的结果证实,与相应的相控阵雷达系统相比,MIMO雷达系统可以实现增强的检测性能。

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