Frequency-selective multiple-input multiple-output channel estimation with transmitter non-linearities

M. W. Liu, John F. Doherty

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


The authors propose an algorithm based on the knowledge of training sequences to obtain an asymptotically unbiased estimator of non-linear multiple-input multiple-output (MIMO) channels, which involves the radio frequency front-end non-linearity and linear frequency selective MIMO channels. Although the impact of non-linearity in the transmitter side has been widely studied, most work on the channel estimation assumes linear channel models and ignores the non-linear effects. In this study, we develop a non-linear channel estimator that can simultaneously estimate the linear MIMO channel model and non-linearity of the transmitter is developed. With these two sets of parameters, the non-linear channel model can be fully described. This channel estimation algorithm is implemented over an empirical MIMO channel model using an orthogonal frequency division multiplexing system.

Original languageEnglish (US)
Pages (from-to)467-475
Number of pages9
JournalIET Signal Processing
Issue number6
StatePublished - Nov 4 2009

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


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