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Velocity Dealiased Spectral Estimators of Range Migrating Targets using a Single Low-PRF Wideband Waveform

机译:使用单个低PRF宽带波形的距离迁移目标的速度去杂波频谱估计器

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摘要

Wideband radars are promising systems that may provide numerous advantages, like simultaneous detection of slow and fast moving targets, high range-velocity resolution classification, and electronic counter-countermeasures. Unfortunately, classical processing algorithms are challenged by the range- migration phenomenon that occurs then for fast moving targets. We propose a new approach where the range migration is used rather as an asset to retrieve information about target velocities and, subsequently, to obtain a velocity dealiased mode. More specifically three new complex spectral estimators are devised in case of a single low-PRF (pulse repetition frequency) wideband waveform. The new estimation schemes enable one to decrease the level of sidelobes that arise at ambiguous velocities and, thus, to enhance the discrimination capability of the radar. Synthetic data and experimental data are used to assess the performance of the proposed estimators.
机译:宽带雷达是有希望的系统,可以提供许多优势,例如同时检测慢速和快速移动的目标,高范围的速度分辨率分类以及电子对策。不幸的是,经典处理算法受到快速移动目标随后发生的距离迁移现象的挑战。我们提出了一种新方法,其中使用距离迁移而不是资产来检索有关目标速度的信息,然后获得速度脱碳模式。更具体地说,在单个低PRF(脉冲重复频率)宽带波形的情况下,设计了三个新的复杂频谱估计器。新的估计方案使人们能够减少在模棱两可的速度下出现的旁瓣电平,从而增强雷达的辨别能力。综合数据和实验数据用于评估拟议估算器的性能。

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