Compressive sensing and waveform design for the identification of Linear time-varying systems

In this paper, we investigate the application of compressive sensing and waveform design for estimating linear time-varying system characteristics. Based on the fact that the spreading function system representation is sparse in realistic system scenarios, we propose a new method for the identification of narrowband, wideband and dispersive systems using a small set of measurements. Through numerical simulations, we successfully demonstrate the feasibility of using compressive sensing to estimate the system spreading function.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Jun Jun Zhang, Antonia S. Papandreou
• Keywords: Compressive Sensing, Dispersive Systems, ICASSP 2008, Signal Processing, Waveform Design