Cyclic beamforming using fractional Fourier transform domain cyclostationarity

  • Muhammad Ishtiaq Ahmad*
  • , Zhiwen Liu
  • , Yougen Xu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A minimum mean-squared error(MSE) beamforming algorithm employing the optimum fractional Fourier transform(Opt-FrFT) domain second-order cyclostationarity is proposed. This method can efficiently filter out the compact desired chirp signal, with a consequence that the cyclically uncorrelated interferences and stationary(colored) Gaussian noise are greatly suppressed in the Opt-FrFT domain. This improves the MSE minimization cyclic beamformer by reducing effectively the Opt-FrFT domain signal-noise cross terms in the presence of finite data length de-correlation operation. Simulation results show that the new method works well under a wide range of signal-to-noise ratio(SNR) and signal-to-interference ratio(SIR).

Original languageEnglish
Pages (from-to)57-63
Number of pages7
JournalHigh Technology Letters
Volume17
Issue number1
DOIs
Publication statusPublished - Mar 2011

Keywords

  • Beamforming
  • Chirp signal
  • Cyclostationarity
  • Fractional Fourier transform

Fingerprint

Dive into the research topics of 'Cyclic beamforming using fractional Fourier transform domain cyclostationarity'. Together they form a unique fingerprint.

Cite this