Cognitive interference suppression for low complexity UWB transceivers

Interference suppression techniques for low complexity ultra wideband transceivers using pulse position modulation and energy detection receivers are proposed and evaluated. A theoretical framework is introduced, which enables the optimization of pulse shapes and energy detection integration windows based on a signal-to-interference-and-noise ratio criterion. Furthermore, the framework allows to incorporate statistical channel knowledge into the optimization problem. The effect of the proposed interference suppression techniques on BER performance is demonstrated by computer simulations.