文献类型：期刊文献

英文题名：Research on constrained localization of ultrasound geometric distribution based on FHN neurons

作者：Li, Weiwei Yuan, Sen Zhou, Xiaorong Qin, Long Xi, Yue

第一作者：Li, Weiwei

通信作者：Yuan, S[1]

机构：[1]Guizhou Univ, Coll Mech Engn, Guiyang, Peoples R China;[2]Guizhou Inst Technol, Sch Mech Engn, Guiyang, Peoples R China;[3]Guizhou Univ, Coll Mech Engn, Guiyang 550025, Peoples R China

第一机构：Guizhou Univ, Coll Mech Engn, Guiyang, Peoples R China

通信机构：corresponding author), Guizhou Univ, Coll Mech Engn, Guiyang 550025, Peoples R China.

年份：2023

卷号：106

期号：2

外文期刊名：SCIENCE PROGRESS

收录：;Scopus(收录号：2-s2.0-85160494016);WOS:【SCI-EXPANDED(收录号:WOS:000999931100001)】；

基金：Acknowledgements This work is financially supported by Science and Technology Plan Project of Guizhou Province (Grant No. ZNWLQC[2019]3012).

语种：英文

外文关键词：Automated guided vehicle; geometric accuracy factor; horizontal dilution precision; weight factor; geometric constraint; stochastic resonance; FHN neurons

摘要：The autopilot positioning process is mainly affected by three aspects: the first is the spatial geometric distribution of positioning sensors; the second is the screening of spurious observations; and the third is the equivalent ranging error. A constrained positioning method based on the geometric distribution of FitzHugh-Nagumo (FHN) neurons is proposed. To reduce the geometric accuracy factor, a Horizontal Dilution Of Precision value algorithm with a weight factor was proposed by considering the spatial geometric distribution of base stations and the geometric relationship of anchor points. This paper proposes a geometric constraint data processing method for the error of the pseudo-observation value. Finally, considering the significant weak signal perception ability of the biological nervous system, and the stochastic resonance phenomenon caused by noise can enhance the ability of the neuronal system to detect weak signals, an ultrasonic receiving method based on the stochastic resonance characteristics of FHN neuronal system is proposed, to enhance the signal and reduce noise. The results show that under the optimized base station layout and data geometric constraint processing, the ultrasonic wave based on FHN neuron improves the accuracy of spurious observations, reduces the calculation amount of geometric constraint processing, and reduces the positioning error by 66.67%, which provides a new direction for improving the positioning accuracy.