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Bandwidth Sharing and Scan Scheduling in Multimodal Radar with Communications and Tracking

机译:具有通信和跟踪功能的多模态雷达的带宽共享和扫描调度

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摘要

This paper addresses two issues related to multi-functional radio frequency (RF) systems: Bandwidth sharing between radar surveillance and communications, and scan scheduling during radar surveillance and radar tracking. Bandwidth is a very scarce commodity which must be managed with diligence for optimal system performance. Multi-objective optimization is used to arrive at solutions making the best use of available bandwidth between radar and communications. Bandwidth allocation for radar is based on the need to unambiguously resolve various scattering features of the target and their spatial arrangement. We divide the surveillance space into angular sectors and use fuzzy logic to arrive at priorities for each sector. We also consider the problem of scan scheduling between tracking and surveillance modes for the multimodal radar and introduce the concept of partial passes to increase the number of visits for tracking sectors. Static radar scheduling methods are used for specific target scenarios, while dynamic radar scheduling is introduced to periodically adapt the algorithm to the current target scenario. The algorithms are applied for representative target scenarios. Tracking is performed using the particle filter algorithm. The scheduling algorithms are analyzed using key performance parameters.
机译:本文讨论了与多功能射频(RF)系统相关的两个问题:雷达监视和通信之间的带宽共享以及雷达监视和雷达跟踪期间的扫描调度。带宽是一种非常稀缺的商品,必须进行认真的管理才能获得最佳的系统性能。使用多目标优化来获得能够最佳利用雷达和通信之间的可用带宽的解决方案。雷达的带宽分配基于明确解析目标的各种散射特征及其空间布置的需求。我们将监视空间划分为多个角度扇区,并使用模糊逻辑得出每个扇区的优先级。我们还考虑了多模式雷达的跟踪和监视模式之间的扫描调度问题,并引入了部分通过的概念以增加跟踪扇区的访问次数。静态雷达调度方法用于特定的目标方案,而动态雷达调度则用于使算法定期适应当前目标方案。该算法适用于代表性目标方案。使用粒子过滤器算法执行跟踪。使用关键性能参数分析调度算法。

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