Robust peak distortion equalization

Moshe Salhov*, Ami Wiesel, Yonina C. Eldar

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


We consider the problem of designing a robust linear equalizer under channel uncertainties. Specifically, we propose a robust peak distortion (RPD) equalizer, in which we minimize the error probability of the worst-case sequence and the worst-case channel, in the uncertainty region. We show that the RPD equalizer can be found efficiently using standard convex optimization packages. We then demonstrate through simulations that under channel uncertainty the RPD equalizer outperforms traditional equalizers, and previously proposed robust equalizers.

Original languageAmerican English
Pages (from-to)IV-1009-IV-1012
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
StatePublished - 2004
Externally publishedYes
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: 17 May 200421 May 2004


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