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Digital signal processing, 2023-04, Vol.134, p.103914, Article 103914
2023

Details

Autor(en) / Beteiligte
Titel
FIR-SIMO channel order determination by invariant-signal-subspace matching
Ist Teil von
  • Digital signal processing, 2023-04, Vol.134, p.103914, Article 103914
Ort / Verlag
Elsevier Inc
Erscheinungsjahr
2023
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • We present a novel and computationally simple solution to the problem of determining the order of finite impulse response (FIR) single-input multiple-output (SIMO) channel. The solution is applicable to ideal and realistic wireless channels, with both white and colored noise. It is based on a non-asymptotic goodness-of-fit metric, referred to as invariant-signal-subspace matching (ISSM), aimed at matching pairs of invariant-signal-subspaces, created by exploiting the shift-invariance property of the block-Toeplitz data matrix. A pair of projection matrices corresponding to these subspaces is created for every potential FIR-SIMO order, and the order is then determined as that for which this metric is minimized. Simulation results are included, demonstrating the performance of the proposed solution for both ideal and realistic channels, with both white and colored noise.
Sprache
Englisch
Identifikatoren
ISSN: 1051-2004
eISSN: 1095-4333
DOI: 10.1016/j.dsp.2023.103914
Titel-ID: cdi_crossref_primary_10_1016_j_dsp_2023_103914

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