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Novel PRF schedules for medium PRF radar

机译:中型PRF雷达的新型PRF时间表

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Previous work has demonstrated that evolutionary algorithms (EAs) are an effective tool for the selection of optimal pulse repetition frequency (PRF) sets to minimise range-Doppler blindness of a medium PRF radar. This paper reconsiders the concepts of decodability in medium PRF radar, and how new and novel schedules can be generated using an EA. Traditionally, target data is required in a minimum of 3 PRFs (e.g. a 3 of 8 scheme). In this paper, we describe the generation of schedules requiring data in only 2 PRFs. Results are presented for a comparison between schemes requiring target data in two and three PRFs. The results indicate that blindness is minimised in schedules with greater numbers of PRFs and requiring target data in fewer PRFs. The concept of dynamic selection of PRI schedules that are fully decodable and have no blind velocities is outlined and is concluded to be feasible.
机译:先前的工作表明,进化算法(EA)是用于选择最佳脉冲重复频率(PRF)集以最小化中型PRF雷达的距离多普勒盲性的有效工具。本文重新考虑了中型PRF雷达可解码性的概念,以及如何使用EA生成新的和新颖的时间表。传统上,目标数据至少需要3个PRF(例如8个中的3个)。在本文中,我们描述了仅在2个PRF中需要数据的时间表的生成。给出了结果,用于在两个和三个PRF中需要目标数据的方案之间的比较。结果表明,在计划中,PRF数量更多,并且需要较少PRF的目标数据,从而使盲目性降到最低。概述了可完全解码且没有盲目速度的PRI时间表的动态选择概念,并认为这是可行的。

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