Combining Linear Estimation with Scalar Widely Linear Estimation

Christoph Hellings, Wolfgang Utschick

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We study the capabilities of a filter configuration where a linear filter is applied to an improper vector, and the output is processed by scalar widely linear filters afterwards. Assuming that this filter configuration is used to estimate a vector of interest from a noisy observation, we aim at finding the optimal filter coefficients in the sense of minimizing the mean square error. To this end, we propose a filter design algorithm based on alternating optimization. The resulting filter turns out to achieve an intermediate performance between the optimal widely linear filter and the optimal linear filter. As an application example, we discuss how the considered filter structure fits to the concept of linear transceivers in communication systems.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5177-5181
Number of pages5
ISBN (Electronic)9781479981311
DOIs
StatePublished - May 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: 12 May 201917 May 2019

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2019-May
ISSN (Print)1520-6149

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Country/TerritoryUnited Kingdom
CityBrighton
Period12/05/1917/05/19

Keywords

  • MMSE filter
  • improper signals
  • widely linear.

Fingerprint

Dive into the research topics of 'Combining Linear Estimation with Scalar Widely Linear Estimation'. Together they form a unique fingerprint.

Cite this