基于块对角化的通信雷达频谱共存设计

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

通信学报 ›› 2021, Vol. 42 ›› Issue (12): 226-235.doi: 10.11959/j.issn.1000-436x.2021227

基于块对角化的通信雷达频谱共存设计

韩凯峰¹, 黄立涛², 陈力², 王志勤¹

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

修回日期:2021-11-24 出版日期:2021-12-01 发布日期:2021-12-01
作者简介:韩凯峰（1993- ），男，北京人，博士，中国信息通信研究院高级工程师，主要研究方向为面向6G的通信感知一体化、无线人工智能等创新技术
黄立涛（1996- ），男，上海人，中国科学技术大学硕士生，主要研究方向为频谱共享、通信雷达一体化
陈力（1987- ），男，安徽铜陵人，博士，中国科学技术大学副教授，主要研究方向为无线通信基本理论、通信计算一体化和通信感知一体化等
王志勤（1970- ），女，北京人，中国信息通信研究院教授级高级工程师，主要研究方向为无线移动通信技术和标准
基金资助:
国家自然科学基金资助项目(62071445);科技部重点研发计划基金资助项目(2020YFB1807603)

Communication-radar coexistence design based on block diagonalization

Kaifeng HAN¹, Litao HUANG², Li CHEN², Zhiqin WANG¹

¹ Mobile Communication Innovation Center， China Academy of Information and Communications Technology， Beijing 100191， China
² Department of Electronic Engineering and Information Science， University of Science and Technology of China， Hefei 230026， China

Revised:2021-11-24 Online:2021-12-01 Published:2021-12-01
Supported by:
The National Natural Science Foundation of China(62071445);Key Research and Development of the Min-istry of Science and Technology(2020YFB1807603)

摘要/Abstract

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。

关键词: 频谱共享, 通信雷达频谱共存, 块对角化, 用户选择

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.

Key words: spectrum sharing, communication-radar coexistence, block diagonalization, user selection

中图分类号:

TN929.5

韩凯峰, 黄立涛, 陈力, 王志勤. 基于块对角化的通信雷达频谱共存设计[J]. 通信学报, 2021, 42(12): 226-235.

Kaifeng HAN, Litao HUANG, Li CHEN, Zhiqin WANG. Communication-radar coexistence design based on block diagonalization[J]. Journal on Communications, 2021, 42(12): 226-235.

图/表 8

图1

表1

各限制条件下所适配的算法"

限制条件		适用算法
天线数	用户数	适用算法
$N_{t} \geq \sum_{j = 1}^{K} N_{r_{j}} + M_{r}$	$K \leq ⌊ (N_{t} - M_{r}) / N_{r} ⌋$	CRC BD
$N_{t} \geq \sum_{j = 1}^{K} m_{j} + M_{r}$	$\begin{array}{l} ⌊ (N_{t} - M_{r}) / N_{r} ⌋ < \\ K \leq N_{t} - M_{r} \end{array}$	CRC Modified BD
$N_{t} \geq \sum_{j = 1}^{K} N_{r_{j}} + M_{r}$	$K > N_{t} - M_{r}$	CRC User Selection

表1

图2

图3

图4

图5

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图7

参考文献 17

[1]	GRIFFITHS H , COHEN L , WATTS S ,et al. Radar spectrum engineering and management:technical and regulatory issues[J]. Proceedings of the IEEE, 2014,103(1): 85-102.
[2]	ZHANG J J , WANG M , HUA M ,et al. LTE on license-exempt spectrum[J]. IEEE Communications Surveys ＆ Tutorials, 2018,20(1): 647-673.
[3]	ROH W , SEOL J Y , PARK J ,et al. Millimeter-wave beamforming as an enabling technology for 5G cellular communications:theoretical feasibility and prototype results[J]. IEEE Communications Magazine, 2014,52(2): 106-113.
[4]	KHAWAR A , ABDEL-HADI A ,, CLANCY T C . Spectrum sharing between S-band radar and LTE cellular system:a spatial approach[C]// Proceedings of 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN). Piscataway:IEEE Press, 2014: 7-14.
[5]	NARTASILPA N , SALIM A , TUNINETTI D ,et al. Communications system performance and design in the presence of radar interference[J]. IEEE Transactions on Communications, 2018,66(9): 4170-4185.
[6]	LIU F , MASOUROS C , PETROPULU A P ,et al. Joint radar and communication design:applications,state-of-the-art,and the road ahead[J]. IEEE Transactions on Communications, 2020,68(6): 3834-3862.
[7]	HAYKIN S . Cognitive radio:brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005,23(2): 201-220.
[8]	SARUTHIRATHANAWORAKUN R , PEHA J M , CORREIA L M . Opportunistic sharing between rotating radar and cellular[J]. IEEE Journal on Selected Areas in Communications, 2012,30(10): 1900-1910.
[9]	CAIRE G , SHAMAI S . On the achievable throughput of a multiantenna Gaussian broadcast channel[J]. IEEE Transactions on Information Theory, 2003,49(7): 1691-1706.
[10]	SODAGARI S , KHAWAR A , CLANCY T C ,et al. A projection based approach for radar and telecommunication systems coexistence[C]// Proceedings of 2012 IEEE Global Communications Conference (GLOBECOM). Piscataway:IEEE Press, 2012: 5010-5014.
[11]	BABAEI A , TRANTER W H , BOSE T . A nullspace-based precoder with subspace expansion for radar/communications coexistence[C]// Proceedings of 2013 IEEE Global Communications Conference (GLOBECOM). Piscataway:IEEE Press, 2013: 3487-3492.
[12]	LI B , PETROPULU A P , TRAPPE W . Optimum co-design for spectrum sharing between matrix completion based MIMO radars and a MIMO communication system[J]. IEEE Transactions on Signal Processing, 2016,64(17): 4562-4575.
[13]	LIU F , MASOUROS C , LI A ,et al. MIMO radar and cellular coexistence:a power-efficient approach enabled by interference exploitation[J]. IEEE Transactions on Signal Processing, 2018,66(14): 3681-3695.
[14]	LIU F , MASOUROS C , LI A ,et al. Robust MIMO beamforming for cellular and radar coexistence[J]. IEEE Wireless Communications Letters, 2017,6(3): 374-377.
[15]	SPENCER Q H , SWINDLEHURST A L , HAARDT M . Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels[J]. IEEE Transactions on Signal Processing, 2004,52(2): 461-471.
[16]	RALEIGH G G , CIOFFI J M . Spatio-temporal coding for wireless communication[J]. IEEE Transactions on Communications, 1998,46(3): 357-366.
[17]	SUNG H , LEE S R , LEE I . Generalized channel inversion methods for multiuser MIMO systems[J]. IEEE Transactions on Communications, 2009,57(11): 3489-3499.

基于块对角化的通信雷达频谱共存设计

Communication-radar coexistence design based on block diagonalization

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