Joint power allocation for multicarrier radar and communication coexistence

Fangzhou Wang, Hongbin Li

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

3 Scopus citations

Abstract

This paper examines the coexistence of radar and communication systems on a common frequency band using multicarrier waveforms. We consider a radar-centric sharing scenario where the radar needs to meet a minimum performance constraint, measured by the signal-to-interference-plus-noise ratio (SINR). A heuristic solution can be developed using a greedy search (GS) method, which lets the radar transmit peak power on its best subcarrier to meet the SINR constraint, and then assigns the rest subcarriers to the communication system to maximize its throughput. The GS method is a subcarrier-allocation based solution. We propose herein a sharing based approach, which allows the radar and communication systems to occupy the same subcarrier, but controls the mutual interference through joint power allocation. This leads to a non-convex problem that maximizes the communication throughput under a radar SINR constraint, as well as total and per-subcarrier power constraints for both the radar and communication systems. The problem is solved by an alternating optimization and sequential convex programming algorithm. Simulation results show the proposed sharing based approach significantly outperforms the GS method in various interference scenarios.

Original languageEnglish
Title of host publication2020 IEEE International Radar Conference, RADAR 2020
Pages141-145
Number of pages5
ISBN (Electronic)9781728168128
DOIs
StatePublished - Apr 2020
Event2020 IEEE International Radar Conference, RADAR 2020 - Washington, United States
Duration: 28 Apr 202030 Apr 2020

Publication series

Name2020 IEEE International Radar Conference, RADAR 2020

Conference

Conference2020 IEEE International Radar Conference, RADAR 2020
Country/TerritoryUnited States
CityWashington
Period28/04/2030/04/20

Keywords

  • Multicarrier signal
  • Non-convex optimization
  • Power allocation
  • Radar and communication coexistence

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