Title :
Exact analytical expression of schmidl-cox signal detection performance in AWGN
Author :
Erseghe, Tomaso ; Vangelista, Lorenzo
Author_Institution :
Dipt. di Ing. dell´´Inf., Univ. di Padova, Padova, Italy
fDate :
5/1/2010 12:00:00 AM
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.
Keywords :
AWGN; Gaussian processes; OFDM modulation; probability; signal detection; AWGN; Gaussian approximations; OFDM systems; Schmidl-Cox signal detection performance; analytical expression; false alarm probability; normalization factor; system designers; AWGN; Frequency synchronization; Gaussian approximation; Helium; OFDM; Performance analysis; Signal analysis; Signal detection; Signal to noise ratio; System analysis and design; Signal detection, system analysis and design, probability;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2010.05.100325