Waveform optimization in cloud radar with spectral congestion constraints

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We investigate a cloud radar system consisting of a radar transmitter and distributed nodes linked to a remote processing center (PC) via multiple-access wireless backhaul channels. Each node serves both as a radar receiver and relay that forwards to the PC an amplified version of the received signal. To accommodate the ever-growing demand for spectrum, the cloud radar system is required to operate over a spectrum partially shared with communication devices and services. We formulate a problem of jointly optimizing the radar waveform as well as the relay power gains to maximize a mutual information criterion that serves as proxy for detection performance. The optimization requires knowledge of second-order statistics of clutter and interference, and is constrained by limitations imposed by the bandwidth shared with communication. Numerical results show that the joint optimization is advantageous over optimizing only the radar waveform or only the relay gains.

Original languageEnglish (US)
Title of host publication2019 IEEE Radar Conference, RadarConf 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116792
DOIs
StatePublished - Apr 2019
Event2019 IEEE Radar Conference, RadarConf 2019 - Boston, United States
Duration: Apr 22 2019Apr 26 2019

Publication series

Name2019 IEEE Radar Conference, RadarConf 2019

Conference

Conference2019 IEEE Radar Conference, RadarConf 2019
CountryUnited States
CityBoston
Period4/22/194/26/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

Keywords

  • Cloud radar
  • Power allocation
  • Spectral congestion
  • Wavetorm design

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