Complex baseband blind deconvolution of single band-pass input

She Feng Yan*, Yuan Liang Ma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A blind deconvolution algorithm based on autocorrelation function of band-pass signal is proposed, and only single input is required. The input data is transformed to its complex baseband through demodulation and decimation processing. For the baseband signal, a blind deconvolution algorithm is deduced, which minimizes the squared sum of the real part of the signal autocorrelation function over a region excluding a region near the zero delay point. Computer simulations show that the algorithm works well. It is widely applicable for bandpass Gaussian as well as non-Gaussian signals.

Original languageEnglish
Pages (from-to)702-708
Number of pages7
JournalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume26
Issue number5
Publication statusPublished - May 2004
Externally publishedYes

Keywords

  • Autocorrelation function
  • Blind deconvolution
  • Complex baseband
  • Multipath

Fingerprint

Dive into the research topics of 'Complex baseband blind deconvolution of single band-pass input'. Together they form a unique fingerprint.

Cite this