Architectural analysis of compressed sensing based IR-UWB receiver for communication and ranging

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 or serial) will results in different noise situation (correlated or uncorrelated) in the CS measurement procedure. Bit error rate (BER) simulation for a communication system and time-of-arrival (TOA) estimation for a ranging system in additive white Gaussian noise (AWGN) channel as well as IEEE 802.15.4a CM1 channel are performed. It shows that CS-based signal detection in uncorrelated noise situation outperforms the correlated noise situation. This noise driven architectural analysis can be used as a design guideline for the CS-based IR-UWB receiver regarding different application scenarios.