Transmit MIMO beampattern design under constant modulus and spectral Interference Constraints

Omar Aldayel, Vishal Monga, Muralidhar Rangaswamy

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

3 Scopus citations

Abstract

In multiple array radar systems, waveform diversity can be exploited to enhance the beampattern design. However, in a spectrally crowded environment, the spectral shape of radar waveforms must be compatible with civilian and other wireless communication services. We address the problem of designing a beampattern for MIMO radar under a spectral interference constraint. The problem essentially reduces to a constrained design of the radar waveform, where a key open challenge is jointly enforcing the spectral interference constraint in addition to the constant modulus constraint (CMC). A new approach is proposed in our work, which involves solving a sequence of convex Constrained Quadratic Programs, each of which has a closed form solution and such that constant modulus is achieved at convergence. New analytical results are provided in support of the proposed Beampattern design under constant modulus and Interference Constraints (BIC). We evaluate the proposed BIC algorithm against state of the art MIMO beampattern design methods that enforce constant modulus and show that BIC achieves a high fidelity radar beampattern while maintaining low spectral interference in the desired bands.

Original languageEnglish (US)
Title of host publication2017 IEEE Radar Conference, RadarConf 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1131-1136
Number of pages6
ISBN (Electronic)9781467388238
DOIs
StatePublished - Jun 7 2017
Event2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States
Duration: May 8 2017May 12 2017

Publication series

Name2017 IEEE Radar Conference, RadarConf 2017

Other

Other2017 IEEE Radar Conference, RadarConf 2017
Country/TerritoryUnited States
CitySeattle
Period5/8/175/12/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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