In this paper compressed sensing (CS) techniques are employed to develop reduced sampling rate strategies for channel estimation and data detection in impulse radio ultrawideband (IR-UWB) systems. In particular, first channel estimation algorithms based on Matching Pursuit (MP) and Basis Pursuit Denoising (BPDN) techniques are proposed. Then, it is shown how the channel estimates generated by these algorithms can be used in correlation-based CS detectors. Finally, the performance loss originating from CS is assessed analytically in a transmitted reference (TR) system.
Compressed channel estimation and data detection algorithms for IR-UWB / A., Barbieri; Pancaldi, Fabrizio; Vitetta, Giorgio Matteo. - STAMPA. - (2011), pp. 360-364. (Intervento presentato al convegno 2011 IEEE International Conference on Ultra-Wideband, ICUWB 2011 tenutosi a Bologna, ita nel 14-16 Sept. 2011) [10.1109/ICUWB.2011.6058864].
Compressed channel estimation and data detection algorithms for IR-UWB
PANCALDI, Fabrizio;VITETTA, Giorgio Matteo
2011
Abstract
In this paper compressed sensing (CS) techniques are employed to develop reduced sampling rate strategies for channel estimation and data detection in impulse radio ultrawideband (IR-UWB) systems. In particular, first channel estimation algorithms based on Matching Pursuit (MP) and Basis Pursuit Denoising (BPDN) techniques are proposed. Then, it is shown how the channel estimates generated by these algorithms can be used in correlation-based CS detectors. Finally, the performance loss originating from CS is assessed analytically in a transmitted reference (TR) system.
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