Communication-radar coexistence design based on block diagonalization

Kaifeng HAN; Litao HUANG; Li CHEN; Zhiqin WANG

doi:10.11959/j.issn.1000-436x.2021227

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Communication-radar coexistence design based on block diagonalization

Correspondences | 更新时间：2024-06-05

- Communication-radar coexistence design based on block diagonalization
- Journal on Communications Vol. 42, Issue 12, Pages: 226-235(2021)
- 作者机构：
  
  1. 中国信息通信研究院移动通信创新中心，北京 100191
  2. 中国科学技术大学电子工程与信息科学系，安徽合肥 230026
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62071445);Key Research and Development of the Min-istry of Science and Technology(2020YFB1807603)
- DOI：10.11959/j.issn.1000-436x.2021227
  CLC： TN929.5
- Online First：2021-12，
  
  Published：25 December 2021
- 稿件说明：
移动端阅览
Kaifeng HAN, Litao HUANG, Li CHEN, et al. Communication-radar coexistence design based on block diagonalization[J]. Journal on Communications, 2021, 42(12): 226-235.
DOI：

Kaifeng HAN, Litao HUANG, Li CHEN, et al. Communication-radar coexistence design based on block diagonalization[J]. Journal on Communications, 2021, 42(12): 226-235. DOI： 10.11959/j.issn.1000-436x.2021227.

摘要

针对通信与雷达同频共存问题，提出了基于块对角化的波束设计方案。首先，在保证不对雷达设备造成干扰和满足功率限制的前提下，构建最大化通信系统和速率的优化问题。为求解该问题，引入了通信用户间干扰为0的约束，使非凸的原问题具备解析解。根据引入约束带来的关于通信基站发射天线数的限制，提出了另外2种算法进一步考虑当不满足限制条件时的块对角化设计。仿真结果表明，所提算法能在各种场景下引入约束使原问题有解，计算复杂度较低，具备较高的实际工程应用价值。

Abstract

Aiming at the problem of coexistence of communication and radar at the same frequency， a block diagonalization design scheme was proposed.Firstly， an optimization problem was established to maximum the communication system’s sum rate subject to no interference at the radar side and the power budget.To solve this problem， the constraint that the interference between communication users is zero was introduced， so that the non-convex original problem could have a closed-form solution.Then， based on the restriction on the number of base station’s transmit antennas caused by introducing the constraint， two other algorithms were proposed to further consider the block diagonalization design when the constraint was not met.The simulation results show that the proposed algorithms can introduce the constraint to solve the original problem in various scenarios with relative-low computation complexity， which can be implemented in practice.

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references

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