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Compressed sensing (CS) is an emerging technology that can be applied to impulse radio ultra-wideband (IR-UWB) receivers. CS represents an attractive solution for its capability of recovering a signal from a small number of measurements using sub-Nyquist sampling rate analog to digital converters (ADC). In this paper we investigate practical design parameters for low power CS based UWB system, including...
Compressed sensing (CS) based impulse radio ultra-wideband (IR-UWB) receiver has attracted much attention in recent years. This paper presents an architectural analysis of the CS-based IR-UWB receiver with focuses on investigating the random noise processes in the CS measurement procedure. We find that different noise sources (sky noise or amplifier noise) and different receiver architectures (parallel...
Compressed sensing (CS) is an emerging technique which enables sub-Nyquist sampling of sparse or compressible signals. The application of CS theory in the impulse radio ultrawideband (IR-UWB) receiver design has recently attracted much attention. This paper provides an exploration of the CS-based IR-UWB receiver from different aspects: front-end hardware architectures, back-end signal processing algorithms...
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