Title :
Time-varying power-limited preprocessing for perfect reconstruction of binary signals
Author :
Touri, Rouzbeh ; Voulgaris, Petros G. ; Hadjicostis, Christoforos N.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL
Abstract :
In this paper we consider a deterministic worst-case framework for perfect reconstruction of discrete data transmission through a dispersive communication channel. More specifically, we extend our previous work to capture time-varying transmission dynamics that also include the case of linear time-varying preprocessing of the data without increasing the power of the transmitted signal. We present necessary and sufficient conditions for perfect reconstructability and formulate a framework for the synthesis of an optimal preprocessor. In the case of periodic preprocessing followed by (periodic) DFE at the receiving end, we provide a design procedure based on l1-optimization. The application of this procedure to representative communication channels suggests that careful choice of linear time-varying preprocessing can significantly enhance our ability for perfect reconstruction without increasing the power of the transmitted signal
Keywords :
decision feedback equalisers; optimisation; signal reconstruction; time-varying channels; binary signals; data linear time-varying preprocessing; decision feedback equalizer; discrete data transmission; dispersive communication channel; l1-optimization; necessary conditions; optimal preprocessor synthesis; periodic preprocessing; representative communication channels; sufficient conditions; time-varying transmission dynamics; Communication channels; Data communication; Decision feedback equalizers; Dispersion; MIMO; Noise measurement; Propagation delay; Signal synthesis; Stochastic resonance; Sufficient conditions;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1657637