A pragmatic approach to adaptive antennas

Tapan K. Sarkar, Jinwan Koh, Raviraj Adve, Richard A. Schneible, Michael C. Wicks, Seungwon Choi, Magdalena Salazar Palma

Research output: Contribution to journalArticlepeer-review

69 Scopus citations


This paper presents a novel approach for efficient computation of adaptive weights in phased-array antennas. The fundamental philosophical differences between adaptive antennas and adaptive signal-processing methodology are also delineated in the introduction. This approach, unlike the conventional statistical techniques, eliminates the requirement for an interference covariance matrix, and represents a rethinking of the entire conventional approach to adaptive processing. This approach provides greater flexibility in solving a wider class of problems, at the expense of a slightly reduced number of degrees of freedom. It is important to note that the application of a deterministic approach to address stochastic problems with an ergodic structure can be seen in the works of Norbert Wiener and A. N. Kolmogorov, as outlined in the introduction. This paper presents examples to illustrate the effectiveness and uniqueness of this new pragmatic approach.

Original languageEnglish (US)
Pages (from-to)39-55
Number of pages17
JournalIEEE Antennas and Propagation Magazine
Issue number2
StatePublished - 2000


  • Adaptive arrays
  • Adaptive signal processing
  • Array signal processing
  • Multipath channels
  • Shaped beam antennas
  • Sidelobe cancellation

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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