Synchronisation Techniques

In systems with highly efficient turbo-codes, wherethe operating SNR may be as low as 1-2 dB, excellentestimation accuracy for synchronisation parametersis required. However, in such conditionsconventional non-data-aided synchronisationtechniques become difficult due to the low SNRs. Inaddition, to achieve a high efficiency, it isdesirable to recovery synchronisation from receiveddata signals without using preambles. This bookdescribes a novel concept, which is called a prioriprobability aided synchronisation. This concept fitsparticularly well with the iterative turbo decoder,but it will also be applicable with other types ofcode. The proposed synchronisation operatesiteratively and jointly with the turbo decoding,rather than separately prior to the decoding. Thisallows a successive refinement of synchronisationand provides reliable estimation and robust datadecoding against a wide range of synchronisationoffsets. It is shown that remarkableperformance approaching that of the data-aidedtechniques can be achieved using blindsynchronisation at low SNRs.

Autorentext

Li Zhang received her Ph.D degree in communications from the University of York, York, UK in 2003. She is currently a lecturer in communications with the University of Leeds. Her research interests lie in the areas of wireless communications and signal processing.

Klappentext
In systems with highly efficient turbo-codes, where the operating SNR may be as low as 1-2 dB, excellent estimation accuracy for synchronisation parameters is required. However, in such conditions conventional non-data-aided synchronisation techniques become difficult due to the low SNRs. In addition, to achieve a high efficiency, it is desirable to recovery synchronisation from received data signals without using preambles. This book describes a novel concept, which is called a priori probability aided synchronisation. This concept fits particularly well with the iterative turbo decoder, but it will also be applicable with other types of code. The proposed synchronisation operates iteratively and jointly with the turbo decoding, rather than separately prior to the decoding. This allows a successive refinement of synchronisation and provides reliable estimation and robust data decoding against a wide range of synchronisation offsets. It is shown that remarkable performance approaching that of the data-aided techniques can be achieved using blind synchronisation at low SNRs.