Interference alignment based precoder-decoder design for radar-communication co-existence

Yuanhao Cui, V. Koivunen, Xiaojun Jing
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引用次数: 10

Abstract

Co-existence of radar and communication systems is necessary to facilitate new wireless systems and services due to shortage of useful radio spectrum. Moreover, changes in spectrum regulation will be introduced where spectrum is allocated in larger chunks and different radio systems need to share the spectrum. For example LTE, WI-FI and 5G systems will have to share spectrum with S-band radars. Managing interference is a key task in spectrum sharing and co-existence. In this paper we propose a joint Precoder-Decoder design that maximizes SINRs for co-existing radar and communication systems. Multicarrier waveforms are assumed for both subsystems. Interference Alignment (IA) constraints are imposed to facilitate easier interference cancellation in finding the Precoder and Decoder. Therefore, a maximum Degree of Freedom (DoF) upper bound for K + 1 radar-communication users interference channel can be achieved. Our simulation studies demonstrate that the interference can be practically fully cancelled in both communication and radar systems. This leads to improved detection performance in radar and higher rate in communication subsystems. A significant performance gain over a subspace-based Precoder design is obtained as well.
基于干扰对准的雷达-通信共存预编解码器设计
由于可用的无线电频谱短缺,雷达和通信系统的共存是促进新的无线系统和服务的必要条件。此外,频谱规管亦会作出改变,如频谱以较大块分配,而不同的无线电系统需要共用频谱。例如,LTE、WI-FI和5G系统将不得不与s波段雷达共享频谱。干扰管理是频谱共享与共存的关键问题。在本文中,我们提出了一种联合预编码器-解码器设计,以最大限度地提高共存雷达和通信系统的sinr。对两个子系统都假定了多载波波形。干扰对齐(IA)约束是为了方便在查找预编码器和解码器时更容易地消除干扰。因此,可以实现K + 1雷达通信用户干扰信道的最大自由度(DoF)上界。仿真研究表明,该干扰在通信系统和雷达系统中都可以完全消除。这将提高雷达的探测性能,提高通信子系统的检出率。与基于子空间的预编码器设计相比,也获得了显著的性能增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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