Rao-Blackwellized Particle Filtering for Mobility Positioning in Mixed Sight Conditions

2010 ◽  
Vol 43 ◽  
pp. 329-332
Author(s):  
Hong Mei Hu
Keyword(s):  
Markov Model ◽  
Particle Filter ◽  
Particle Filtering ◽  
Measured Data ◽  
Adverse Impact ◽  
Line Of Sight ◽  
Mobile State ◽  
First Order ◽  
Simulation Results ◽  
Non Line Of Sight

Mixed sigh conditions include line-of-sight/non-line-of-sight (LOS/ NLOS) conditions, which have adverse impact on the precision for mobility positioning. A first-order Markov model is employed to describe the dynamic transition of sight conditions, which is hidden in measured data. A Rao-Blackwellized Particle filter (RBPF) is proposed to jointly estimate mobile state and the hidden sight state based on the measurement. Simulation results show the effectiveness of the method.

scholarly journals A Residual Analysis-Based Improved Particle Filter in Mobile Localization for Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2945 ◽  
Author(s):  
Long Cheng ◽  
Liang Feng ◽  
Yan Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Particle Filter ◽  
Residual Analysis ◽  
Wireless Sensor ◽  
Line Of Sight ◽  
Main Body ◽  
Localization Algorithm ◽  
Mobile Localization ◽  
Non Line Of Sight

Wireless sensor networks (WSNs) have become a popular research subject in recent years. With the data collected by sensors, the information of a monitored area can be easily obtained. As a main contribution of WSN localization is widely applied in many fields. However, when the propagation of signals is obstructed there will be some severe errors which are called Non-Line-of-Sight (NLOS) errors. To overcome this difficulty, we present a residual analysis-based improved particle filter (RAPF) algorithm. Because the particle filter (PF) is a powerful localization algorithm, the proposed algorithm adopts PF as its main body. The idea of residual analysis is also used in the proposed algorithm for its reliability. To test the performance of the proposed algorithm, a simulation is conducted under several conditions. The simulation results show the superiority of the proposed algorithm compared with the Kalman Filter (KF) and PF. In addition, an experiment is designed to verify the effectiveness of the proposed algorithm in an indoors environment. The localization result of the experiment also confirms the fact that the proposed algorithm can achieve a lower localization error compared with KF and PF.

scholarly journals Large-Scale Channel Modeling and Measurements for 10 GHz in Indoor Environments

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Iury S. Batalha ◽  
Andréia V. R. Lopes ◽  
Jasmine P. L. Araújo ◽  
Fabrício J. B. Barros ◽  
Bruno L. S. Castro ◽  
...  
Keyword(s):  
Large Scale ◽  
Channel Modeling ◽  
Directional Antennas ◽  
Measured Data ◽  
Comprehensive Analysis ◽  
Line Of Sight ◽  
Indoor Environments ◽  
Computer Engineering ◽  
Cross Polarization ◽  
Non Line Of Sight

With the advent of 5G mobile communication and researches into the propagation of large-scale channel modeling for frequencies above 6 GHz, measurement investigation was performed at 10 GHz with horn-type directional antennas in a corridor and a computer room within the Electrical and Computer Engineering Laboratories’ first floor, at Federal University of Pará (UFPA), Brazil. This paper presents data obtained through experimental work, channel modeling with co-polarization V-V and H-H and cross-polarization V-H in line-of-sight (LOS) or non-line-of-sight (NLOS) conditions. The large-scale close-in reference is sustained by a comprehensive analysis, considering propagation mechanisms such as reflection and diffraction. Results demonstrate that the established model had inferior standard deviation in relation to measured data, proving itself more significant to propagation in indoor environments.

scholarly journals Joint Particle Filter and UKF Position Tracking in Severe Non-Line-of-Sight Situations

2009 ◽  
Vol 3 (5) ◽  
pp. 874-888 ◽  
Author(s):  
Jose M. Huerta ◽  
Josep Vidal ◽  
Audrey Giremus ◽  
Jean-Yves Tourneret
Keyword(s):  
Particle Filter ◽  
Line Of Sight ◽  
Position Tracking ◽  
Non Line Of Sight

scholarly journals Multitarget Tracking by Improved Particle Filter Based on Unscented Transform

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Yazhao Wang
Keyword(s):  
Particle Filter ◽  
Particle Filtering ◽  
Measurement Noise ◽  
Multitarget Tracking ◽  
Unscented Transform ◽  
Cluttered Environment ◽  
Nonlinear Tracking ◽  
Linear And Nonlinear ◽  
Simulation Results ◽  
Extended Filter

This paper considers the problem of multitarget tracking in cluttered environment. To reduce the dependency on the noise priori knowledge, an improved particle filtering (PF) data association approach is presented based on the filter (HF). This approach can achieve higher robustness in the condition that the measurement noise prior is unknown. Because of the limitations of the HF in nonlinear tracking, we first present the unscented filter (HUF) by embedding the unscented transform (UT) into the extended filter (HEF) structure. Then the HUF is incorporated into the Rao-Blackwellized particle filter (RBPF) framework to update the particles. Simulation results are provided to demonstrate the effectiveness of the proposed algorithms in linear and nonlinear multitarget tracking.

scholarly journals A REVIEW ON (Wi-Fi VS. Li-Fi) TECHNOLOGY

2020 ◽  
Vol 3 (1) ◽  
pp. 10-13
Author(s):  
Moin Khan ◽  
Ahthasham Sajid ◽  
Arsal Hanif ◽  
Muhammad Aqib ◽  
Afia Zafar
Keyword(s):  
Light Propagation ◽  
Hybrid Approach ◽  
Adverse Impact ◽  
Line Of Sight ◽  
The Novel ◽  
Non Line Of Sight

This paper is about the various limitations of the novel Li-Fi technology and perhaps those which have an adverse impact on its security and efficiency. Line of sight has been one of the major barriers for VLC based technology which causes eminent hindrance in the widen applicability of the technology. Li-Fi is a non-Line of Sight alternative which does not merely confine its limits or depreciates its efficiency; in fact, it makes it an ineffective option for the LoS based scenarios. This paper will discuss the hybrid approach to wireless solutions in an effort to address the said impediments. This paper also discusses the methods to minimize the lope holes which jeopardize the gains associated with the non Line of sight (NLoS) nature of the light propagation and explains ways to control eavesdropping.

The Study on Non-Line-of-Sight Ultraviolet Communication System in the Atmospheric Turbulence

2014 ◽  
Vol 668-669 ◽  
pp. 1335-1338 ◽  
Author(s):  
Yong Wang
Keyword(s):  
Atmospheric Turbulence ◽  
Communication System ◽  
Optical Power ◽  
Intensity Modulation ◽  
Line Of Sight ◽  
Turbulence Effect ◽  
Simulation Results ◽  
Ultraviolet Communication ◽  
Ber Performance ◽  
Non Line Of Sight

In the atmospheric turbulence, the effects of atmospheric turbulence and transmitted optical power on the BER performance of ultraviolet communication system are analyzed and simulated. The simulation results show that when the atmospheric turbulence strength changes from weak to strong, the BER performance deteriorates along. Compared to OOK intensity modulation, the BPSK subcarrier intensity modulation can be more effectively to inhibit atmospheric turbulence effect on ultraviolet communication system. Under the certain atmospheric turbulence strength, the BER performance of ultraviolet communication system will be improved along with the increase of the transmitted optical power.

Path Loss of Non-Line-of-Sight Single-Scatter Model

2012 ◽  
Vol 571 ◽  
pp. 416-420
Author(s):  
Tai Rong Wang ◽  
Lu Bai ◽  
Zhen Sen Wu
Keyword(s):  
Geometric Parameter ◽  
Path Loss ◽  
Weather Conditions ◽  
Apex Angle ◽  
Field Of View ◽  
Line Of Sight ◽  
Simulation Results ◽  
Single Scatter ◽  
Non Line Of Sight

Based on the single-scatter model of the Non-Line-of-Sight(NLOS), we analyze the effect of the geometric parameter of the transceiver on path loss, such as the receiver field of view(FOV), the transmitter apex angle and so on. And path loss in different visibility and weather conditions are simulated. The simulation results show that increasing the receiver FOV, or reducing the transmitter apex angle or the receiver apex angle can reduce path loss. And visibility and weather have an important effect on path loss.

scholarly journals Wireless sensor indoor positioning based on an improved particle filter algorithm

2020 ◽  
Vol 16 (2) ◽  
pp. 155014772090363
Author(s):  
Pan Feng ◽  
Danyang Qin ◽  
Guangchao Xu ◽  
Ruolin Guo ◽  
Min Zhao
Keyword(s):  
Kalman Filter ◽  
Wireless Sensor Network ◽  
Particle Filter ◽  
Signal Propagation ◽  
Wireless Sensor ◽  
Line Of Sight ◽  
Particle Filter Algorithm ◽  
Error Parameter ◽  
Improve Reliability ◽  
Non Line Of Sight

Positioning by wireless sensor network is one of its main functions and has been widely used in many fields. However, when signal propagation is hindered, serious errors, non-line-of-sight errors, occur. In order to solve this problem, this article proposes an improved particle filter algorithm, which introduces the idea of residual analysis to improve reliability. The algorithm assigns weights to the particles based on the residuals and selects the appropriate particles. In addition, the non-line-of-sight error parameter [Formula: see text] is introduced, and the second selection is made according to [Formula: see text], which considers the influence of non-line-of-sight error. The non-line-of-sight error is greatly reduced after two selections. The simulation is performed under several different non-line-of-sight errors, and results show that the algorithm is superior to Kalman filter and particle filter.

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