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22
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Introduction
Meng's research interests include indoor positioning, sensors fusion, pattern analysis, machine learning, etc.
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June 2021 - July 2022
Publications
Publications (22)
Wi-Fi ranging positioning based on round-trip time (RTT) measurement is influenced by complex environments and the deployment of access points (AP). This work proposes an enhanced genetic algorithm (EGA)-based strategy for Wi-Fi AP deployment and analyzes the performance of the EGA-based framework by designing fitness functions using Cramer-Rao low...
In this paper, we have constructed a high-precision indoor positioning system by leveraging WiFi round-trip time (RTT), magnetic field and pedestrian dead reckoning (PDR). For the WiFi RTT module, a collaborative WiFi RTT positioning approach is proposed by combining RTT ranging and fingerprinting through a Cramer-Rao lower bound (CRLB)-based outli...
Ultra-wideband (UWB) is a high-precision positioning and navigation technology, it faces significant challenges due to the abundance of non-line-of-sight (NLOS) conditions in complex indoor environments. In this study, we introduce the bidirectional encoder representations from transformers (BERT) to identify and mitigate the impact of NLOS paths u...
The fine time measurement (FTM) protocol-based Wi-Fi RTT positioning is currently a research spotlight in the community. However, the performance evaluation methods of localization algorithms are relatively simplistic and lack theoretical basis. Furthermore, the impact of Wi-Fi access points (AP) layout on positioning accuracy has not been thorough...
The spatially discernible indoor magnetic field indicates locations through different magnetic readings at various positions. Therefore, magnetic positioning has garnered attention due to its promising localization accuracy and infrastructure-free nature, significantly reducing the investment in localization. Since the magnetic field covers all ind...
Extended Kalman filter (EKF) is commonly employed to integrate geomagnetic matching and pedestrian dead reckoning (PDR). However, an EKF with a constant stochastic measurement model using empirical or pre-trained parameters restricts the applicability of geomagnetic/PDR fusion systems. To address this issue, we optimize the EKF-based magnetic/PDR f...
The WiFi fine time measurement (FTM)-based ranging positioning often encounters challenges instability and low accuracy in real-life scenarios due to inaccurate round-trip time (RTT)-based ranging. To address these issues, we construct a WiFi RTT/received signal strength (RSS)/pedestrian dead reckoning (PDR)/map fusion system with an improved map-a...
Ultra-wideband (UWB) sensor technology is known to achieve high-precision indoor localization accuracy in line-of-sight (LOS) environments, but its localization accuracy and stability suffer detrimentally in non-line-of-sight (NLOS) conditions. Current NLOS/LOS identification based on channel impulse response’s (CIR) characteristic parameters (CCP)...
This paper proposes a robust heading estimation algorithm for smartphones, which integrates the gradient descent (GD) approach and genetic algorithm (GA) to compute the heading angle of smartphones, and reduce the heading error accumulation induced by the errors of sensors. In the proposed algorithm, the accelerometer, magnetometer and gyroscope ar...
Smartphone-based WiFi ranging using fine time measurement (FTM) is severely impacted by Non-line-of-sight (NLoS) environments, which causes significant positioning errors. To address this problem, we propose a novel WiFi FTM positioning (WFP) approach based on the geomagnetism and enhanced genetic algorithm (EGA), which can simultaneously execute W...
WiFi-based indoor localization using the fine time measurement (FTM) protocol has become a popular technique. However, in harsh Non-Line-of-Sight (NLoS) environments, WiFi FTM positioning (WFP) suffers from poor performance. In this letter, a novel WiFi FTM localization method with the assistance of geomagnetic positioning (GP) is proposed. To ensu...
With the pervasiveness and ubiquitous distribution of the magnetic field in indoor environments, indoor localization using magnetic positioning (MP) has attracted considerable attention. This work concentrates on the MP and pedestrian dead reckoning (PDR) method, and constructs a fusion system for smartphones using MP and PDR based on the extended...
Since many Wi-Fi routers can currently transmit two-band signals, we aimed to study dual-band Wi-Fi to achieve better positioning results. Thus, this paper proposes a fingerprint positioning method for dual-band Wi-Fi based on Gaussian process regression (GPR) and the K-nearest neighbor (KNN) algorithm. In the offline stage, the received signal str...
Indoor position technologies have attracted the attention of many researchers. To provide a real-time indoor position system with high precision and stability is necessary under many circumstances. In a real-time position scenario, gross errors of the Bluetooth low energy (BLE) fingerprint method are more easily occurring and the heading angle of t...
Indoor positioning using the geomagnetic field has become a popular technique because of the infrastructure-free characteristic and the ubiquitous magnetic signals in indoor environments. Geomagnetic intensity will generate fluctuations due to the factors like device heterogeneity, dates and electronic facilities. Stable geomagnetic data is essenti...
The smartphone-based Wi-Fi fine time measurement (FTM) technique has provided a new approach for Wi-Fi-based indoor location on mobile phones since the 2018 release of the Google Android Pie system, which supports the IEEE 802.11-2016 protocol and can directly measure the distance between the initiator and the responder. This paper studies in detai...
In recent years, many new technologies have been used in indoor positioning. In 2016, IEEE 802.11-2016 created a Wi-Fi fine timing measurement (FTM) protocol, making Wi-Fi ranging more robust and accurate, and providing meter-level positioning accuracy. However, the accuracy of positioning methods based on the new ranging technology is influenced b...
This paper proposes a fusion indoor positioning method that integrates the pedestrian dead-reckoning (PDR) and geomagnetic positioning by using the genetic-particle filter (GPF) algorithm. In the PDR module, the Mahony complementary filter (MCF) algorithm is adopted to estimate the heading angles. To improve geomagnetic positioning accuracy and geo...
The radio map construction is usually time-consuming and labor-sensitive in indoor fingerprinting localization. We propose a fast construction method by using an adaptive path loss model interpolation. Received signal strength (RSS) fingerprints are collected at sparse reference points by using multiple smartphones based on crowdsourcing. Then, the...
