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Joint Power Allocation for Multicarrier Radar and Communication Coexistence

机译：多载波雷达和通信共存的联合功率分配

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摘要

This paper examines the coexistence of radar and communication systems on a common frequency band using multicarrier waveforms. We consider a radar-centric sharing scenario where the radar needs to meet a minimum performance constraint, measured by the signal-to-interference-plus-noise ratio (SINR). A heuristic solution can be developed using a greedy search (GS) method, which lets the radar transmit peak power on its best subcarrier to meet the SINR constraint, and then assigns the rest subcarriers to the communication system to maximize its throughput. The GS method is a subcarrier-allocation based solution. We propose herein a sharing based approach, which allows the radar and communication systems to occupy the same subcarrier, but controls the mutual interference through joint power allocation. This leads to a non-convex problem that maximizes the communication throughput under a radar SINR constraint, as well as total and per-subcarrier power constraints for both the radar and communication systems. The problem is solved by an alternating optimization and sequential convex programming algorithm. Simulation results show the proposed sharing based approach significantly outperforms the GS method in various interference scenarios.
机译：本文研究了使用多载波波形在公共频段上雷达和通信系统的共存。我们考虑以雷达为中心的共享方案，在该方案中，雷达需要满足最低性能约束，该约束由信号干扰加噪声比（SINR）衡量。可以使用贪婪搜索（GS）方法来开发启发式解决方案，该方法可以使雷达在其最佳子载波上传输峰值功率以满足SINR约束，然后将其余子载波分配给通信系统以使其吞吐量最大化。 GS方法是基于子载波分配的解决方案。我们在此提出一种基于共享的方法，该方法允许雷达和通信系统占用相同的子载波，但通过联合功率分配来控制相互干扰。这导致非凸问题，该问题使雷达SINR约束下的通信吞吐量以及雷达和通信系统的总和每副载波功率约束最大化。通过交替优化和顺序凸规划算法解决了该问题。仿真结果表明，所提出的基于共享的方法在各种干扰情况下均明显优于GS方法。

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