Generalization of waveform communications : the Fourier analyzer approach

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27243

Title:	Generalization of waveform communications : the Fourier analyzer approach
Authors:	Kolumban, G Lau, FCM Tse, CK
Issue Date:	2005
Source:	Circuits, systems and signal processing, 2005, v. 24, no. 5 SPEC. ISS., p. 451-474
Abstract:	In digital communications, fixed, chaotic, and random waveforms are used. Although the theory of fixed waveform communications is well established, its generalization to include chaotic and random carriers has not yet been carried out. The lack of an exact model prevents the optimization of chaotic and random communication systems. Introducing the Fourier analyzer concepts, this paper develops a unified model which is equally valid for communications with fixed, chaotic and random carriers. It gives an exact measure for the a priori information which is exploited at the receiver to optimize the noise performance. The unified model may be used to determine the performance bounds of different waveform communication systems and offers a systematic approach for the development of optimum detector configurations. Using the model developed, a new classification of digital communication systems is proposed.
Keywords:	Chaotic communications Fourier analyzer concept GML and ML decision rules Subspace theory of detection Waveform communications
Publisher:	Birkhäuser
Journal:	Circuits, systems and signal processing
ISSN:	0278-081X
EISSN:	1531-5878
DOI:	10.1007/s00034-005-2401-z
Appears in Collections:	Journal/Magazine Article

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