一种创新的CFAR算法

F. Hofele
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引用次数: 9

摘要

首先展示了两种众所周知但结构完全不同的CFAR算法,CAGO(细胞平均最大)CFAR和OS(有序统计)CFAR可以自由组合。结果是CAOS(单元平均有序统计)CFAR。在此背景下,提出了一种新的CFAR算法。它被称为CASH(单元格平均统计Hofele (1997)) CFAR。与其他CFAR算法(CA、CAGO、OS、CAOS)的阈值相比,该算法的阈值质量非常高。此外,CASH-CFAR所需的处理能力明显低于OS-和CAOS-CFAR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An innovative CFAR algorithm
It is first shown how the two well-known, but quite differently structured CFAR algorithms, CAGO (cell averaging greatest of) CFAR and OS (ordered statistic) CFAR, can be freely combined. The result is the CAOS (cell averaging ordered statistic) CFAR. Against this background, a new CFAR algorithm is introduced. It is called CASH (cell averaging statistic Hofele (1997)) CFAR. Compared with the thresholds of the other CFARs (CA, CAGO, OS, CAOS), the thresholds of this new CFAR algorithm is of exceptionally high quality. Moreover, the processing power required by the CASH-CFAR is significantly less than for the OS- and CAOS-CFAR.
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