【24h】

A Neighbor Discovery Algorithm in Network of Radar and Communication Integrated System

机译:雷达与通信集成系统网络中的邻居发现算法

获取原文
获取原文并翻译 | 示例

摘要

Networking Radar-Communication Integrated System (RCIS) promises an improved performance of radar and communication system platform by expanding scanning range and sharing information with each other. But equipping RCIS with directional antennas, in return, will worsen network's connectivity. In this paper, we aim to address the problem of neighbor discovery stage in networking process. Then, we are to present a directional neighbor discovery algorithm called scan based networking radar algorithm, or, SBA-RA. The difference between SBA-RA and previous researches which assume no prior knowledge of neighbors, is that SBA-RA makes full use of the approximate location information of neighbors obtained from RCIS platform to accelerate neighbor discovery. What is more, the performance of SBA-RA in RCIS is evaluated, and then compared with Scan-Based Algorithm (SBA) and Completed Random Algorithm (CRA) in terms of time consumption. And the experiments indicate SBA-RA outweighs the others. In the end, future possibilities to improve SBA-RA are discussed.
机译:网络雷达通信集成系统(RCIS)通过扩大扫描范围和彼此共享信息,有望提高雷达和通信系统平台的性能。但是,为RCIS配备定向天线将使网络的连接性恶化。本文旨在解决联网过程中邻居发现阶段的问题。然后,我们将介绍一种称为基于扫描的网络雷达算法或SBA-RA的定向邻居发现算法。 SBA-RA与之前没有假设邻居有先验知识的研究之间的区别在于,SBA-RA充分利用了从RCIS平台获得的邻居的近似位置信息,以加速邻居发现。此外,还评估了SBA-RA在RCIS中的性能,然后将其与基于扫描的算法(SBA)和完全随机算法(CRA)的时间消耗进行了比较。实验表明,SBA-RA胜过其他产品。最后,讨论了改进SBA-RA的未来可能性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号