Device Free Detection in Impulse Radio Ultrawide Bandwidth Systems

In this paper, an analytical framework is presented for device detection in an impulse radio (IR) ultra-wide bandwidth (UWB) system and its performance analysis is carried out. The Neyman–Pearson (NP) criteria is employed for this device-free detection. Different from the frequency-based approaches, the proposed detection method utilizes time domain concepts. The characteristic function (CF) is utilized to measure the moments of the presence and absence of the device. Furthermore, this method is easily extendable to existing device-free and device-based techniques. This method can also be applied to different pulse-based UWB systems which use different modulation schemes compared to IR-UWB. In addition, the proposed method does not require training to measure or calibrate the system operating parameters. From the simulation results, it is observed that an optimal threshold can be chosen to improve the ROC for UWB system. It is shown that the probability of false alarm, [Formula: see text] , has an inverse relationship with the detection threshold and frame length. Particularly, to maintain [Formula: see text] for a frame length of 300 ns, it is required that the threshold should be greater than [Formula: see text]. It is also shown that for a fix [Formula: see text] , the probability of detection [Formula: see text] increases with an increase in interference-to-noise ratio (INR). Furthermore, [Formula: see text] approaches 1 for INR [Formula: see text] dB even for a very low [Formula: see text] i.e., [Formula: see text]. It is also shown that a 2 times increase in the interference energy results in a 3 dB improvement in INR for a fixed [Formula: see text] and [Formula: see text]. Finally, the derived performance expressions are corroborated through simulation.