Exact analytical expression of schmidl-cox signal detection performance in AWGN

  • Authors:
  • Tomaso Erseghe;Lorenzo Vangelista

  • Affiliations:
  • Dipartimento di Ingegneria dell'Informazione, Università di Padova, Padova, Italy;Dipartimento di Ingegneria dell'Informazione, Università di Padova, Padova, Italy

  • Venue:
  • IEEE Communications Letters
  • Year:
  • 2010

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Abstract

In this letter we investigate the performance of Schmidl-Cox signal detection, a widely used approach in practical OFDM systems whose performance is usually evinced by resorting to Gaussian approximations. We show that, by a slight modification of the normalization factor, we are able to derive a basically equivalent approach whose performance can be expressed in exact analytical form. A particularly simple expression is found for the false alarm probability, allowing system designers a straightforward selection of optimal parameters.