Multichannel adaptive signal detection jointly uses the test and training data to form an adaptive detector, and then make a decision on whether a target exists or not. Remarkably, the resulting adaptive detectors usually possess the constant false alarm rate (CFAR) properties, and hence no additional CFAR processing is needed. Filtering is not needed as a processing procedure either, since the function of filtering is embedded in the adaptive detector. Moreover, adaptive detection usually exhibits better detection performance than the filtering-then-CFAR detection technique. Multichannel adaptive signal detection has been more than 30 years since the first multichannel adaptive detector was proposed by Kelly in 1986. However, there are fewer overview articles on this topic. In this paper we give a tutorial overview of multichannel adaptive signal detection, with emphasis on Gaussian background. We present the main deign criteria for adaptive detectors, investigate the relationship between adaptive detection and filtering-then-CFAR detection, relationship between adaptive detectors and adaptive filters, summarize typical adaptive detectors, show numerical examples, give comprehensive literature review, and discuss some possible further research tracks.

翻译：多通道适应性信号探测共同利用测试和培训数据形成适应性探测器,然后就目标是否存在作出决定。 值得注意的是,由此产生的适应性探测器通常具有恒定的假警报率特性,因此不需要额外的CFAR处理。 过滤也无需作为处理程序,因为过滤功能嵌入适应性探测器。 此外,适应性探测通常比过滤器-当时的CFAR探测技术表现出更好的检测性能。自Kelly于1986年提出第一个多通道适应性探测器以来,多通道适应性信号探测已经超过30年了。然而,关于这个主题的概览文章较少。在本文件中,我们对多通道适应性信号探测进行了辅导性概述,重点是高斯的背景。我们介绍了适应性探测器的主要分级标准,调查适应性探测和过滤-当时的CFAR探测之间的关系,适应性探测器与适应性过滤器之间的关系,总结典型的适应性探测器,展示了数字性探测器,展示了一些实例,提供了全面的文献审查,并讨论了一些可能的研究轨迹。