MIMO radar waveform design with constant modulus and similarity constraints

Guolong Cui, Hongbin Li, Muralidhar Rangaswamy

Research output: Contribution to journalArticlepeer-review

457 Scopus citations

Abstract

We consider the problem of waveform design for Multiple-Input Multiple-Output (MIMO) radar in the presence of signal-dependent interference embedded in white Gaussian disturbance. We present two sequential optimization procedures to maximize the Signal to Interference plus Noise Ratio (SINR), accounting for a constant modulus constraint as well as a similarity constraint involving a known radar waveform with some desired properties (e.g., in terms of pulse compression and ambiguity). The presented sequential optimization algorithms, based on a relaxation method, yield solutions with good accuracy. Their computational complexity is linear in the number of iterations and trials in the randomized procedure and polynomial in the receive filter length. Finally, we evaluate the proposed techniques, by considering their SINR performance, beam pattern as well as pulse compression property, via numerical simulations.

Original languageEnglish
Article number6649991
Pages (from-to)343-353
Number of pages11
JournalIEEE Transactions on Signal Processing
Volume62
Issue number2
DOIs
StatePublished - 15 Jan 2014

Keywords

  • Constant modulus and similarity constraints
  • MIMO radar
  • sequential optimization algorithms
  • waveform design

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