In this work we investigate the joint estimation of the integer carrier frequency offset (CFO) and the preamble index in a multicarrier system compliant with the WiMAX specifications. Since the exact ML solution is prohibitively complex in its general formulation, a suboptimal algorithm is developed to provide a reasonable trade-off between estimation accuracy and processing load. Compared to existing alternatives, the resulting scheme exhibits improved accuracy and reduced sensitivity to residual timing errors.
Integer frequency offset estimation and preamble identification in WiMAX systems
MORELLI, MICHELE;MARCHETTI, LEONARDO;MORETTI, MARCO
2014-01-01
Abstract
In this work we investigate the joint estimation of the integer carrier frequency offset (CFO) and the preamble index in a multicarrier system compliant with the WiMAX specifications. Since the exact ML solution is prohibitively complex in its general formulation, a suboptimal algorithm is developed to provide a reasonable trade-off between estimation accuracy and processing load. Compared to existing alternatives, the resulting scheme exhibits improved accuracy and reduced sensitivity to residual timing errors.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.