Intersymbol Interference Cancellation for Ultra-wideband Sensing and Communication Systems

This paper introduces a novel approach for mitigating intersymbol interference (ISI) in ultra-wideband (UWB) sensing and communication systems that employ impulse radio. Unlike traditional methods, our proposed scheme leverages wavelet transformation for ISI cancellation, without the need for prior channel knowledge. By analyzing the received pulses through wavelet transformation, we can accurately locate and differentiate the desired signal pulse from interference pulses. Theoretical analysis, along with derived closed-form expressions, demonstrates the efficacy of our approach, which is applicable across various UWB pulse waveforms. Simulation results show that our proposed ISI cancellation scheme significantly improves the detection performance of UWB systems compared to those without ISI cancellation. The correlation coefficient of the received pulse can be increased from 0.67 to nearly 1 after ISI cancellation.