论文标题
雷达和通信集成网络的阵列资源分配
Array Resource Allocation for Radar and Communication Integration Network
论文作者
论文摘要
雷达和通信集成（RCI）系统在分配天线资源以确保雷达和通信性能方面具有巨大的灵活性。本文考虑了RCI网络中多个目标本地化和多个平台通信的数组分配问题。数组分配的目的是最大化每个通道的通信能力，并最大程度地减少每个目标的本地化误差。在本文中，我们首先在RCI网络中构建了数组分配的本地化和通信模型。然后，应用较小的最大化（MM）来创建替代功能，以解决多个客观优化问题。进一步采用了预计梯度下降（PGD）方法，以解决有或没有某个通信能力限制的两个数组分配问题。进行计算机模拟以评估所提出的算法的性能。结果表明，在有效地分配了RCI网络中的阵列资源后，提出的算法已改善了本地化和通信性能。
A radar and communication integration (RCI) system has great flexibility in allocating antenna resources to guarantee both radar and communication performance. This paper considers the array allocation problems for multiple target localization and multiple platforms communication in an RCI network. The objective of array allocation is to maximize the communication capacity for each channel and to minimize the localization error for each target. In this paper, we firstly build a localization and communication model for array allocation in an RCI network. Minorization maximization (MM) is then applied to create surrogate functions for multiple objective optimization problems. The projected gradient descent (PGD) method is further employed to solve two array allocation problems with and without a certain communication capacity constraint. Computer simulations are conducted to evaluate the performance of the proposed algorithms. The results show that the proposed algorithms have improved localization and communication performance after efficiently allocating the array resource in the RCI network.
