计算机与数字工程2025，Vol.53Issue(1)：124-126,151,4.DOI:10.3969/j.issn.1672-9722.2025.01.024
基于DGMM混合滤波与神经网络的室内测距算法
Indoor Ranging Algorithm Based on DGMM Hybrid Filter and Neural Network
蒋羽兴1
作者信息
- 1. 江苏科技大学常州技师学院 镇江 212000
- 折叠
摘要
Abstract
Typical received signal strength indication(RSSI)ranging location method has the problem of low accuracy and in-stability,and a single filter has various defects,so this paper proposes a hybrid filtering and neural network combined ranging algo-rithm.The data is processed by hybrid filtering,and the ranging model is fitted nonlinear by neural network.Experimental results show that the range error can be effectively reduced after the hybrid filtering and neural network fitting calculation.关键词
加权混合滤波/路径损耗/RSSI测距/神经网络Key words
weighted hybrid filtering/path loss/RSSI ranging/neural network分类
信息技术与安全科学引用本文复制引用
蒋羽兴..基于DGMM混合滤波与神经网络的室内测距算法[J].计算机与数字工程,2025,53(1):124-126,151,4.
