System-Level Analysis of the Directional Radar Coverage for UAV Localization in Dynamic Swarms

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Anna Gaydamaka;Mahmoud T. Kabir;Andrey Samuylov;Dmitri Moltchanov;Bo Tan;Yevgeni Koucheryavy
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Abstract

Numerous mission-critical unmanned aerial vehicle (UAV) operations, such as rescue and surveillance missions, are conducted in areas lacking access to external infrastructure providing precise positioning information. To enhance situational awareness in such scenarios, millimeter wave (mmWave, $\text{30}-\text{300}$ GHz) and subterahertz (sub-THz, $\text{100}-\text{300}$ GHz) range or Doppler radars promising large resolution can be employed. However, the small antenna apertures in these bands naturally call for the use of massive antenna arrays to achieve reasonable detection distances. By employing directional antenna arrays, these radars need to exhaustively scan the surroundings to ensure situational awareness of a UAV in a swarm. The aim of this article is to characterize the system-level performance of mmWave/sub-THz range and Doppler radars as a function of system parameters by accounting for the propagation specifics of the considered bands. To this aim, we combine the tools of stochastic geometry and antenna simulations to determine the optimal half-power beamwidth that minimizes the full scanning time while maximizing the detection probability of all UAVs in a swarm. Our results demonstrate that both types of radars are characterized by qualitatively similar performance. Detection performance is highly sensitive to both UAV density and coverage radius, as the increase in these parameters leads to an abrupt drop in the detection performance. At small distances, $\leq\!\text{50}$ m, antenna arrays with a smaller number of elements result in the best tradeoff between scanning time and detection probability. Specifically, both types of radars provide perfect knowledge of the surroundings (with detection probability higher than 0.99) within a 50-m radius with a scanning time of less than 1 ms. At greater distances, $\geq\! \text{100}$ m, the only option to improve performance is a drastic increase in the emitted power or receiver sensitivity.
动态蜂群中无人机定位的定向雷达覆盖系统级分析
许多关键任务无人机(UAV)操作,如救援和监视任务,在缺乏外部基础设施提供精确定位信息的地区进行。为了增强在这种情况下的态势感知能力,可以采用具有大分辨率的毫米波(mmWave, $\text{30}-\text{300}$ GHz)和次太赫兹(sub-THz, $\text{100}-\text{300}$ GHz)范围或多普勒雷达。然而,这些波段的小天线孔径自然需要使用大量的天线阵列来实现合理的探测距离。通过使用定向天线阵列,这些雷达需要详尽地扫描周围环境,以确保无人机在蜂群中的态势感知。本文的目的是描述毫米波/亚太赫兹范围和多普勒雷达的系统级性能,通过考虑所考虑的波段的传播特性,作为系统参数的函数。为此,我们结合随机几何和天线模拟的工具来确定最优的半功率波束宽度,以最大限度地减少全扫描时间,同时最大限度地提高群中所有无人机的检测概率。我们的结果表明,这两种类型的雷达具有定性相似的性能。探测性能对无人机密度和覆盖半径都高度敏感,因为这些参数的增加会导致探测性能的突然下降。在较小距离($\leq\!\text{50}$ m)下,单元数较少的天线阵列在扫描时间和探测概率之间取得了最佳折衷。具体来说,这两种雷达都能提供半径50米范围内的环境信息(探测概率高于0.99),扫描时间小于1毫秒。在更远的距离($\geq\! \text{100}$ m),提高性能的唯一选择是大幅增加发射功率或接收器灵敏度。
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来源期刊
IEEE Systems Journal
IEEE Systems Journal 工程技术-电信学
CiteScore
9.80
自引率
6.80%
发文量
572
审稿时长
4.9 months
期刊介绍: This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.
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