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

Yuanhao Cui, Visa Koivunen, Xiaojun Jing

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
EditorsMichael B. Matthews
Number of pages6
ISBN (Electronic)9781538618233
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventAsilomar Conference on Signals, Systems & Computers - Pacific Grove, United States
Duration: 29 Oct 20171 Nov 2017
Conference number: 51

Publication series

NameAsilomar Conference on Signals, Systems, and Computers proceedings
ISSN (Electronic)2576-2303


ConferenceAsilomar Conference on Signals, Systems & Computers
Abbreviated titleASILOMAR
CountryUnited States
CityPacific Grove

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