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A dynamic clutter interference suppression method for multiple static human targets detection using ultra‐wideband radar
Author(s) -
Xue Huijun,
Liu Miao,
Lv Hao,
Jiao Teng,
Li Zhao,
Qi Fugui,
Wang Pengfei,
Wang Jianqi,
Zhang Yang
Publication year - 2019
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.31973
Subject(s) - clutter , radar , computer science , stationary target indication , interference (communication) , wavelet , attenuation , ultra wideband , acoustics , artificial intelligence , electronic engineering , computer vision , continuous wave radar , physics , engineering , telecommunications , radar imaging , optics , channel (broadcasting)
Abstract Postdisaster search and rescue is an important application of ultra‐wideband radar system, which mainly detects survivors by their respiratory‐motion response. In the application of detecting multiple human targets, owing to faint amplitude of human chest movement and high attenuation of electromagnetic wave, the motionless living human targets cannot be discriminated accurately, especially in a complex rescue condition with dynamic clutter interference. In this article, on account of the significant difference of frequency components between the echo signal of tested target and that of illusive target produced by dynamic clutter, an algorithm based on wavelet entropy is proposed. Compared with the reference algorithms of adaptive line enhancement and energy accumulation, the wavelet entropy can accurately detect multiple human targets under the condition of dynamic clutter interference, even though the human targets stand far away locate in the shadowing region caused by the closer one.