Being a key technology for beyond fifth-generation wireless systems, joint communication and radar sensing (JCAS) utilizes the reflections of communication signals to detect foreign objects and deliver situational awareness. A cellular-connected unmanned aerial vehicle (UAV) is uniquely suited to form a mobile bistatic synthetic aperture radar (SAR) with its serving base station (BS) to sense over large areas with superb sensing resolutions at no additional requirement of spectrum. This paper designs this novel BS-UAV bistatic SAR platform, and optimizes the flight path of the UAV to minimize its propulsion energy and guarantee the required sensing resolutions on a series of interesting landmarks. A new trajectory planning algorithm is developed to convexify the propulsion energy and resolution requirements by using successive convex approximation and block coordinate descent. Effective trajectories are obtained with a polynomial complexity. Extensive simulations reveal that the proposed trajectory planning algorithm outperforms significantly its alternative that minimizes the flight distance of cellular-aided sensing missions in terms of energy efficiency and effective consumption fluctuation. The energy saving offered by the proposed algorithm can be as significant as 55%.

中文翻译：

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用于通信辅助雷达传感的蜂窝连接无人机轨迹规划


作为第五代无线系统之后的一项关键技术，联合通信和雷达传感 (JCAS) 利用通信信号的反射来检测异物并提供态势感知。蜂窝连接的无人机 (UAV) 特别适合与其服务基站 (BS) 组成移动双基地合成孔径雷达 (SAR)，以卓越的传感分辨率对大面积区域进行传感，而无需额外的频谱要求。本文设计了这种新型的BS-UAV双基地SAR平台，并优化了无人机的飞行路径，以最小化其推进能量并保证对一系列有趣的地标所需的传感分辨率。开发了一种新的轨迹规划算法，通过使用逐次凸逼近和块坐标下降来凸化推进能量和分辨率要求。有效的轨迹是通过多项式复杂度获得的。广泛的模拟表明，所提出的轨迹规划算法在能源效率和有效消耗波动方面显着优于其最小化蜂窝辅助传感任务的飞行距离的替代方案。所提出的算法可节省高达 55% 的能源。