{'fraction_non_alphanumeric': 0.013937282229965157, 'fraction_numerical': 0.0, 'mean_word_length': 5.682170542635659, '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}}
Multivariate mutual information of interferometric radar altimeter

This paper presents method and result of analysis on the multivariate mutual information of an interferometric radar altimeter (IRA) for an application to the terrain-referenced navigation (TRN). As an effort to improve the performance of the IRA-based TRN, we have proposed a novel measurement model which utilizes three measurements. This paper addresses the preliminary study to quantify the effect of the IRA measurement on the filtering results by analyzing the amount of information inherent in the IRA measurements. This study gave the information theoretic background of the proposed method. The numerical simulation with synthetic measurements shows that combination of the three measurements have positive interaction information which implies the larger synergy than the redundancy.