UWB pulse detection and TOA estimation using GLRT

Abstract

In this paper, a novel statistical approach is presented for time-of-arrival (TOA) estimation based on first path (FP) pulse detection using a sub-Nyquist sampling ultra-wide band (UWB) receiver. The TOA measurement accuracy, which cannot be improved by averaging of the received signal, can be enhanced by the statistical processing of a number of TOA measurements. The TOA statistics are modeled and analyzed for a UWB receiver using threshold crossing detection of a pulse signal with noise. The detection and estimation scheme based on the Generalized Likelihood Ratio Test (GLRT) detector, which captures the full statistical information of the measurement data, is shown to achieve accurate TOA estimation and allows for a trade-off between the threshold level, the noise level, the amplitude and the arrival time of the first path pulse, and the accuracy of the obtained final TOA.

Towards Secure Localization in Randomly Deployed Wireless Networks

“…Note that we could also opted for employing some sort of likelihood ratio test, such as a generalized likelihood ratio test [29], [30], to detect the attacker. However, such schemes typically require a tuning of thresholds for a chosen false alarm (probability of detection) in order to obtain the desired probability of of detection (false alarm), and might require additional knowledge of model parameters (e.g., noise variance) [30]. Hence, the proposed detection scheme seems intuitive and simple, and does not require any additional knowledge about the model parameters.…”