{'fraction_non_alphanumeric': 0.01507537688442211, 'fraction_numerical': 0.0, 'mean_word_length': 5.684563758389261, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Channel capacity related power allocation for ultra-wide bandwidth sensor networks with application in object detection

This publication analyzes the power allocation problem for a distributed wireless sensor network which is based on ultra-wide bandwidth communication technology and is used to perform object detection. In the considered scenarios the presence or the absence of an object is observed by the sensors independently. Due to noisy communication channels, the interfered observations are fused into a reliable global decision in order to increase the overall detection probability. An approach based on information theory, that aims at maximization of channel capacity, is employed. It allows for analytically described allocation of total given power to the sensors and, thereby, optimizes the overall detection probability. Furthermore, we demonstrate the feasibility of object detection by using the introduced power allocation method in ultra-wide bandwidth signaling systems.