Phase integration for two dimensional radar image formation

R. Bonneau
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引用次数: 1

Abstract

Radar imaging is traditionally performed by wideband radar systems to achieve high range resolution of objects. Unfortunately due to cost, frequency allocation, or physical limitations, most radars are unable to operate over a broad range of frequencies. We propose a methodology to achieve high range resolution by phase integration in the frequency domain of a narrowband radar signal. This process compares with the radio camera interferometry approach in that it uses a phased array to achieve spatial resolution and a ground penetration image formation process that spatially samples a region in two dimensions. Our approach unifies the previous approaches, and integrate return signals in the frequency domain which simplifies the registration of the return signal. We begin by describing the basic methodology of collecting data with a two dimensional antenna array using a narrowband linear FM signal. We then describe how each phase bin is converted to the frequency domain and integrated in time. Next, we discuss the Fourier transform followed by the pulse decompression process. Finally we discuss the sampling approach for the two dimensional synthetic aperture and show simulated results.
二维雷达图像形成的相位积分
雷达成像传统上是通过宽带雷达系统来实现目标的高距离分辨率。不幸的是,由于成本、频率分配或物理限制,大多数雷达无法在广泛的频率范围内工作。我们提出了一种在窄带雷达信号的频域通过相位积分实现高距离分辨率的方法。该方法与无线电相机干涉测量方法相比,它使用相控阵来实现空间分辨率,并使用地面穿透成像过程在二维空间上对一个区域进行采样。该方法统一了以往的方法,在频域内对回波信号进行积分,简化了回波信号的配准。我们首先描述了使用窄带线性调频信号的二维天线阵列收集数据的基本方法。然后,我们描述了如何将每个相位仓转换到频域并在时间上进行积分。接下来,我们讨论傅里叶变换之后的脉冲解压过程。最后讨论了二维合成孔径的采样方法,并给出了仿真结果。
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