.png){kind=icon}
返回
Matern Kernel Adaptive Filtering With Nystrom Approximation for Indoor Localization
.png){kind=icon}
PRE
AI
DOI：10.1109/TIM.2023.3291800.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Position identification is one of the most important tasks for many real-time location-oriented applications in the Internet of Things (IoT). However, precise and robust indoor localization always suffers a lot from the high complexity of the indoor environment. In order to attack this problem, a new kernel learning paradigm named kernel adaptive filtering has come to our attention. Kernel adaptive filters (KAFs) have achieved great success except for their growing network structure, which leads to a heavy storage burden. To balance the accuracy with the size of neural networks, sparsification methods are usually initiated into the KAFs to produce a sparse structure of neural networks. Different from traditional sparse approaches, the Nystrom method employs a subcollection of data sampling points to generate a fixed-size filtering structure, which can effectively approximate the space spanned by whole samples. In this work, in order to efficiently fight against the large abnormalities in the indoor environment such as impulsive noise, the Matern kernel is applied to KAFs for the first time. Based on it, a so-called exponential weighted Matern kernel recursive maximum correntropy (mKRMC) and its Nystrom approximation version, Nystrom exponential weighted mKRMC (Nys-mKRMC), are proposed to obtain the desired accuracy performance with a sparse filter structure. In addition, the convergence proof of the proposed Nys-mKRMC has also been given. Finally, extensive experimental results demonstrate that both the proposed mKRMC and Nys-mKRMC can provide high accuracy and strong robustness with the compact size of the filter structure compared with the state-of-the-art KAFs and traditional machine learning methods.
Keyword:
Correntropy
indoor localization
Internet of Things (IoT)
kernel adaptive filter (KAF)
Matern kernel
Nystrom method
期刊
IF:
5.9
论文数:
2.0W
被引数:
5.8W
机构
暂无机构信息
引用论文
The value of access to water: livestock farming in the Nyagatare District, Rwanda.png)
SpringerPlus
OAAI
SpringerPlusIF0
OAAI分享收藏Kalman-Filter-Based Integration of IMU and UWB for High-Accuracy Indoor Positioning and Navigation基于卡尔曼滤波的IMU与UWB融合高精度室内定位导航
PREAI
分享收藏Expression of CD47/integrin‐associated protein induces death of cultured cerebral cortical neurons
PREAI
分享收藏
查看更多内容