Performance of Ultra-Wideband Impulse Radio in Presence of Impulsive Interference

TL;DR

This paper evaluates the robustness of ultra-wideband impulse radio channels against impulsive interference, introducing a new Monte Carlo-based algorithm to estimate achievable data rates with maximum-likelihood detection.

Contribution

It presents a novel Monte Carlo algorithm to calculate lower bounds on data rates for IR-UWB channels under impulsive interference, highlighting their robustness.

Findings

IR-UWB channels are highly resistant to impulsive interference.

The proposed algorithm effectively estimates achievable rates.

Maximum-likelihood detection outperforms nearest-neighbor detection in interference scenarios.

Abstract

We analyze the performance of coherent impulsive-radio (IR) ultra-wideband (UWB) channel in presence of the interference generated by concurrent transmissions of the systems with the same impulsive radio. We derive a novel algorithm, using Monte-Carlo method, to calculate a lower bound on the rate that can be achieved using maximum-likelihood estimator. Using this bound we show that such a channel is very robust to interference, in contrast to the nearest-neighbor detector.