Joint Optimization of Waveform and Quantization in Spectral Congestion Conditions

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

Abstract

In a distributed radar system, signals observed by receive sensors are sent to a remote processing center (PC) via limited-capacity channels. We refer to this architecture as cloud radar as it is reminiscent of the cloud radio access in cellular communications. The communication between the sensors and the PC is intrinsic to the system, but the cloud radar is also required to operate over a spectrum partially shared with extrinsic communication devices and services. We formulate a problem of designing the transmitted waveform and the quantization schemes at the sensors such as to optimize a target detection metric subject to the capacity limitations, spectrum sharing and some other constraints. In particular, mutual information serves as a proxy detection metric. Numerical results demonstrate that joint optimization of the waveform and compression schemes outperforms separate designs.

Original languageEnglish (US)
Title of host publicationConference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1894-1898
Number of pages5
ISBN (Electronic)9781538692189
DOIs
StatePublished - Feb 19 2019
Event52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
Duration: Oct 28 2018Oct 31 2018

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2018-October
ISSN (Print)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
CountryUnited States
CityPacific Grove
Period10/28/1810/31/18

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Keywords

  • Waveform design
  • detection
  • quantization
  • spectrum sharing

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