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本文介绍某些涉及多维处理的雷达处理课题。主要有自适应波束形成 (用于干扰抑制、超分辨和成象)、多基地雷达系统的检测、极化测量雷达,用Wigner变换的时间一一频率域检测以及用Radon变换的聚束照射合成孔径雷达(Spot Light SAR,缩写为SLSAR)。多维处理理论的不足使得目前还不能就这类问题得出统一的见解,因此,本文宁可介绍大量的有关应用例子,其中一些是雷达界熟悉的,而另一些,如所涉及Wigner变换和Radon变换的例子,对雷达工程师则是陌生的。因此,本文将对它们做深入的分析。本文目的之一是引起雷达界对若干雷达难题的多维处理性质的注意。希望从多维处理问题的统一的研究中,在有关的新的和 (或) 计算效率高的处理方法中得到好处。本文的另一个目的是展示尚未在雷达科学中广泛应用的变换技术。列举的参考资料可用于深入研究这些课题。
This article describes some of the radar processing issues involved in multidimensional processing. There are mainly adaptive beamforming (for interference suppression, super-resolution and imaging), detection of multi-base radar systems, polarization measurement radar, time-domain detection with Wigner transform and beam irradiation with Radon transform synthesis Spot Light SAR (SLSAR). Therefore, this article rather introduce a large number of examples of applications, some of which are familiar to the radar industry, while others, such as the Wigner transform and Radon transform involved The example is a stranger to radar engineers. Therefore, this article will do an in-depth analysis of them. One of the purposes of this paper is to draw the radar community’s attention to the multidimensional processing nature of several radar puzzles. It is hoped that the unifying study of multidimensional handling problems will benefit the relevant new and / or computationally efficient processing methods. Another purpose of this paper is to demonstrate transform techniques that have not been widely used in radar science. The cited references can be used to dig deeper into these topics.