Exploration and performance evaluation of a compressed sensing based IR-UWB receiver

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 as well as application scenarios. And the performance of the CS receiver regarding the number of CS measurement and different CS recovery algorithms is evaluated and compared against the conventional sub-Nyquist sampling receiver based on energy detection (ED) scheme. Moreover, a strategy to improve the CS receiver performance in handling UWB signals with heavy noise and multipath propagation is proposed.