paper-with-me

Papers

Multipath Mitigation Technology-integrated GNSS Direct Position Estimation Plug-in Module

2024-11-20 · Sergio Vicenzo, Bing Xu

Direct position estimation (DPE) is an effective solution to the MP issue at the signal processing level. Unlike two-step positioning (2SP) receivers, DPE directly solves for the receiver position, velocity, and time (PVT) in the navigation domain, without the estimation of intermediate measurements, thus allowing it to provide more robust and accurate PVT estimates in the presence of multipath (MP) and weak signals. But GNSS positioning with DPE is mostly left unapplied commercially, and continuing research into DPE has remained relatively stagnant over the past few years. To encourage further research on DPE by the GNSS community, we propose a DPE plug-in module that can be integrated into the conventional 2SP software-defined receivers (SDRs). Programmed in MATLAB, the proposed DPE plug-in module is aimed for better understanding and familiarity of a practical implementation of DPE. Its plug-in module architecture allows it to be incorporated with 2SP MATLAB SDRs, both vector tracking and scalar tracking with minimum changes, making it easy to use, and provides greater flexibility for researchers using various 2SP SDRs. We propose to further improve the performance of DPE against MP by incorporating Multipath Mitigation Technology (MMT) into DPE. Referred to as MMT-DPE, it is proposed as a variant of DPE that adds the MP components into DPE signal model by integrating MMT cost function into DPE, with the aim to better suit DPE for urban environment applications. Results show that while in MP-only conditions, an MMT-integrated 2SP (MMT-2SP) has similar performance with MMT-DPE, the proposed MMT-DPE manages to show great superiority against NLOS, making it the preferable option for applications in urban environments.

📄 PDF Abstract BibTeX arXiv:2411.13339

Code (0)

등록된 구현이 없습니다.

Tasks

Position

Methods 이 논문이 사용한 방법론

Attention 설명 없음
Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.
Multi-Head Attention 설명 없음
Dense Connections Dense Connections, or Fully Connected Connections, are a type of layer in a deep neural network that use a linear operation where every input is connected to every output…
Spatial-Reduction Attention Spatial-Reduction Attention, or SRA, is a multi-head attention module used in the [Pyramid Vision…
Layer Normalization Unlike batch normalization, Layer Normalization directly estimates the normalization statistics from the summed inputs…
Residual Connection 설명 없음
Softmax The Softmax output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$…

Similar Papers 제목 키워드 기반

Seamless Accurate Positioning in Deep Urban Area based on Mode Switching Between DGNSS and Multipath Mitigation Positioning

2022-06-09 · Yongjun Lee, Yoola Hwang, Jae Young Ahn, Jiwon Seo 외

Multipath and non-line-of-sight (NLOS) signals are the major causes of poor accuracy of a global navigation satellite system (GNSS) in urban areas. Despite the wide usage of the GNSS in populated urban areas, it is diffi…

Two stage GNSS outlier detection for factor graph optimization based GNSS-RTK/INS/odometer fusion

2025-10-01 · Baoshan Song, Penggao Yan, Xiao Xia, Yihan Zhong 외 arxiv

Reliable GNSS positioning in complex environments remains a critical challenge due to non-line-of-sight (NLOS) propagation, multipath effects, and frequent signal blockages. These effects can easily introduce large outli…

Outlier Detection

An innovation-based cycle-slip, multipath estimation, detection and mitigation method for tightly coupled GNSS/INS/Vision navigation in urban areas

2024-09-05 · Bo Xu, Shoujian Zhang, Jingrong Wang, Jiancheng Li

Precise, consistent, and reliable positioning is crucial for a multitude of uses. In order to achieve high precision global positioning services, multi-sensor fusion techniques, such as the Global Navigation Satellite Sy…

BlockingSensor Fusion

An Accelerated Camera 3DMA Framework for Efficient Urban GNSS Multipath Estimation

2025-04-23 · Shiyao Lv, Xin Zhang, Xingqun Zhan

Robust GNSS positioning in urban environments is still plagued by multipath effects, particularly due to the complex signal propagation induced by ubiquitous surfaces with varied radio frequency reflectivities. Current 3…

Computational Efficiency

Convolutional Neural Network for Multipath Detection in GNSS Receivers

2019-11-06 · Evgenii Munin, Antoine Blais, Nicolas Couellan

Global Navigation Satellite System (GNSS) signals are subject to different kinds of events causing significant errors in positioning. This work explores the application of Machine Learning (ML) methods of anomaly detecti…

Anomaly Detection