Author:
Wang Dan,Hong Liang,Zhang Ce,Xiao Yong,Lin Ye
Abstract
Abstract
A multi-classifier target recognition algorithm based on fuzzy pattern recognition and fuzzy comprehensive evaluation theory is proposed, where the base classifiers are deployed as fuzzy pattern recognition classifiers, and the secondary classifiers are based on fuzzy comprehensive evaluation theory. On the basis of time-frequency domain analysis of target signals, fuzzy theories such as fuzzy pattern recognition, decision-making and comprehensive evaluation are synthetically applied to carry out first-level evaluation, where the extracted feature parameters are used as the input of target base classifiers. With the evaluation results as the input of second-level evaluation, target state recognition is performed on the multi-state human targets behind the walls in the ultra-wideband radar sensor network based on fuzzy evaluation. The results show that the recognition can efficiently discern the Multi-status human being behind the wall.
Subject
Computer Science Applications,History,Education
Reference12 articles.
1. Through-the-wall human respiration detection using uwb impulse radar on hovering drone.;Rohman;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2021
2. Fuzzy clustering in radar sensor networks for target detection;Liang,2016
3. Situation understanding based on heterogeneous sensor networks and human-inspired favor weak fuzzy logic system;Liang;IEEE Systems Journal,2011