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Maximum a posteriori???based angular superresolution for scanning radar imaging

机译：基于最大后验的角超分辨率，用于扫描雷达成像

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摘要

Because a scanning radar system works as a noncoherent sensor, it is suitable for any geometry situation, and it has significant and extensive applications, such as surveillance, autonomous landing of aircraft, navigation, and guidance. After the pulse compression technique of improving range resolution was presented, angular resolution became crucial for a scanning radar system. In this paper, a scheme of angular superresolution based on maximum a posteriori (MAP) framework is proposed. First, the received signal in azimuth is modeled as a mathematical convolution of the antenna pattern and the targets??? scattering. Then, the principle of the angular superresolution algorithm, superresolution performance analysis, and computational implementation are presented. The algorithm can endure more significant disturbance of noise than conventional approaches. Simulation validates that the method can improve the radar angular resolution at least four times, even when the signal-to-noise ratio (SNR) is 10 dB. Furthermore, real data processing has proved the effectiveness of the proposed method.
机译：由于扫描雷达系统用作非相干传感器，因此它适用于任何几何形状的情况，并且具有重要而广泛的应用，例如监视，飞机的自动降落，导航和制导。在提出了提高距离分辨率的脉冲压缩技术之后，角分辨率对于扫描雷达系统变得至关重要。本文提出了一种基于最大后验（MAP）框架的角度超分辨率方案。首先，将方位角上的接收信号建模为天线方向图和目标的数学卷积。散射。然后，介绍了角度超分辨率算法的原理，超分辨率性能分析和计算实现。与传统方法相比，该算法可承受更大的噪声干扰。仿真表明，即使信噪比（SNR）为10 dB，该方法也可以将雷达角分辨率至少提高四倍。此外，真实数据处理证明了该方法的有效性。

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