scholarly journals Hybrid TOA/AOA Approximate Maximum Likelihood Mobile Localization

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
Mohamed Zhaounia ◽  
Mohamed Adnan Landolsi ◽  
Ridha Bouallegue
Keyword(s):  
Maximum Likelihood ◽  
Communication Systems ◽  
Base Stations ◽  
Time Of Arrival ◽  
Angle Of Arrival ◽  
Arrival Angle ◽  
Wireless Location ◽  
Approximate Maximum Likelihood ◽  
Mobile Localization ◽  
Location Algorithm

This letter deals with a hybrid time-of-arrival/angle-of-arrival (TOA/AOA) approximate maximum likelihood (AML) wireless location algorithm. Thanks to the use of both TOA/AOA measurements, the proposed technique can rely on two base stations (BS) only and achieves better performance compared to the original approximate maximum likelihood (AML) method. The use of two BSs is an important advantage in wireless cellular communication systems because it avoids hearability problems and reduces network signaling burden. Simulation results show that, for certain scenarios, the proposed hybrid TOA/AOA AML with two BSs can outperform the AML with up to six BSs.

scholarly journals Non-Line-of-Sight Error Mitigation in Wireless Communication Systems

2011 ◽  
Vol 1 ◽  
pp. 173-177
Author(s):  
Szu Lin Su ◽  
Yi Wen Su ◽  
Ho Nien Shou ◽  
Chien Sheng Chen
Keyword(s):  
Communication Systems ◽  
Hybrid Methods ◽  
Mobile Station ◽  
Base Stations ◽  
Superior Performance ◽  
Line Of Sight ◽  
Time Of Arrival ◽  
Angle Of Arrival ◽  
Error Statistics ◽  
Non Line Of Sight

When there is non-line-of-sight (NLOS) path between the mobile station (MS) and base stations (BSs), it is possible to integrate many kinds of measurements to achieve more accurate measurements of the MS location. This paper proposed hybrid methods that utilize time of arrival (TOA) at five BSs and angle of arrival (AOA) information at the serving BS to determine the MS location in NLOS environments. The methods mitigate the NLOS effect simply by the weighted sum of the intersections between five TOA circles and the AOA line without requiring priori knowledge of NLOS error statistics. Simulation results show that the proposed methods always give superior performance than Taylor series algorithm (TSA) and the hybrid lines of position algorithm (HLOP).

scholarly journals NLOS Mitigation for TOA Location Based on a Modified Deterministic Model

2008 ◽  
Vol 2008 ◽  
pp. 1-4 ◽  
Author(s):  
Hong Tang ◽  
Yongwan Park ◽  
Tianshuang Qiu
Keyword(s):  
Numerical Solution ◽  
Deterministic Model ◽  
The Other ◽  
Base Stations ◽  
Line Of Sight ◽  
Time Of Arrival ◽  
Wireless Location ◽  
Scale Factors ◽  
Measured Time ◽  
Non Line Of Sight

Wireless location becomes difficult due to contamination of measured time-of-arrival (TOA) caused by non-line-of-sight. In this letter, TOA measurements seen at base stations are adjusted by scale factors, and a modified deterministic model is built. An effective numerical solution is proposed to resolve the scale factors and mobile position. A simulation comparison of four algorithms indicates that the proposed algorithm outperforms the other three algorithms.

A Novel Wireless Location Algorithm Based on High Probability Measurements

2012 ◽  
Vol 433-440 ◽  
pp. 2656-2662
Author(s):  
Xue Rong Cui ◽  
Li Zhang ◽  
Hao Zhang ◽  
T. Aaron Gulliver
Keyword(s):  
High Probability ◽  
Channel Model ◽  
Three Dimensional ◽  
Mean Value ◽  
Ultra Wideband ◽  
Line Of Sight ◽  
Time Of Arrival ◽  
Wireless Location ◽  
Location Algorithm ◽  
Improved Accuracy

This paper presents a novel location algorithm for Ultra-Wideband (UWB) wireless communication based on Time Of Arrival (TOA) measurements. The traditional algorithm and mean value algorithm are compared with the proposed high probability algorithm in a three-dimensional (3D) indoor environment. The IEEE802.15.4a channel model is considered with Line-of-Sight (LOS) and Non-Line-Of-Sight (NLOS) propagation conditions, models CM1 and CM2, respectively. Performance results are presented which verify that the proposed algorithm can provide improved accuracy and robustness compared to other algorithms, particularly in poor channel environments.

Dilution of Position Calculation for Accuracy Improvement in Wireless Location Systems

2011 ◽  
Vol 204-210 ◽  
pp. 1036-1040
Author(s):  
Yung Chuan Lin ◽  
Chien Sheng Chen ◽  
He Nian Shou ◽  
Chi Tien Sun
Keyword(s):  
Communication Systems ◽  
Selection Criterion ◽  
Matrix Inversion ◽  
Base Stations ◽  
Inversion Method ◽  
Wireless Location ◽  
The Matrix ◽  
Measurement Units ◽  
Geometric Dilution Of Precision ◽  
Volume Method

Geometric dilution of precision (GDOP) represents the geometric effect on the relationship between measurement error and positioning determination error. In the calculation of GDOP value, the maximum volume method does not guarantee the optimal selection of the four measurement units. The conventional method for calculating GDOP is to use matrix inversion to all subsets. In this paper, we employ GDOP using the matrix inversion method to select appropriate base stations (BSs) in cellular communication systems. The proposed BS selection criterion performs better than the random subsets of four or five BSs chosen from all seven BSs. The performances of MS location strongly depend on the relative position of the MS and BSs. Therefore, it is very important to select a subset with the most appropriate BSs rapidly and reasonably before positioning.

scholarly journals Vehicles Positioning with the Fusion of Time of Arrival, Angle of Arrival and Inertial Measurements in the Extended Kalman Filter

2021 ◽  
Vol 7 (2) ◽  
pp. 51-67
Author(s):  
G. Fokin ◽  
A. Vladyko
Keyword(s):  
Kalman Filter ◽  
Coordinate System ◽  
Extended Kalman Filter ◽  
Inertial Navigation ◽  
Time Of Arrival ◽  
Navigation Systems ◽  
Angle Of Arrival ◽  
Arrival Angle ◽  
Radio Measurements ◽  
Inertial Measurements

This work is devoted to the study of models and methods for improving posi-tioning accuracy in ultra-dense V2X/5G radio access networks for vehicles during maneuvers by combining range and angle primary measurements with measurements of inertial navigation systems in the extended Kalman filter. Onboard platformless inertial navigation system is represented by three-axis accelerometer and gyroscope modules. Integration of primary inertial measurements of acceleration and angular velocity with primary radio measurements of range and angle is carried out by converting the inertial coordinate system of the accelerometer and gyroscope into coordinate system of vehicle using quaternions. Secondary processing of inertial and radio measurements is carried out in the extended Kalman filter. The integration results show an increase in the accuracy of estimating the trajectory of a vehicle from several meters to one meter when turning at an inter-section.

scholarly journals Combination linear lines of position and neural network for mobile station location estimation

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771738 ◽  
Author(s):  
Chien-Sheng Chen
Keyword(s):  
Mobile Station ◽  
Base Station ◽  
Location Estimation ◽  
Base Stations ◽  
Line Of Sight ◽  
Time Of Arrival ◽  
Angle Of Arrival ◽  
Marquardt Algorithm ◽  
Station Location ◽  
Non Line Of Sight

To enhance the effectiveness and accuracy of mobile station location estimation, author utilizes time of arrival measurements from three base stations and one angle of arrival information at the serving base station to locate mobile station in non-line-of-sight environments. This article makes use of linear lines of position, rather than circular lines of position, to give location estimation of the mobile station. It is much easier to solve two linear line equations rather than nonlinear circular ones. Artificial neural networks are widely used techniques in various areas due to overcoming the problem of exclusive and nonlinear relationships. The proposed algorithms employ the intersections of three linear lines of position and one angle of arrival line, based on Levenburg–Marquardt algorithm, to determine the mobile station location without requiring a priori information about the non-line-of-sight error. The simulation results show that the proposed algorithms can always provide much better location estimation than Taylor series algorithm, hybrid lines of position algorithm as well as the geometrical positioning methods for different levels of biased, unbiased, and distance-dependent non-line-of-sight errors.

Mobile Positioning Technology

2011 ◽  
pp. 2595-2603
Author(s):  
Nikos Deligiannis ◽  
Spiros Louvros ◽  
Stavros Kotsopoulos
Keyword(s):  
Cellular Networks ◽  
Mobile Terminal ◽  
Base Stations ◽  
Fourth Generation ◽  
Time Of Arrival ◽  
Core Network ◽  
Angle Of Arrival ◽  
The Core ◽  
Air Interface ◽  
Radio Signals

A radio mobile-position system operates by measuring, processing, and storing physical quantities related to radio signals travelling between a mobile terminal and a set of transceivers, for example, satellites or Base Stations (BSs). Positioning techniques in cellular networks are of great importance for supporting emerging services that require a sufficient, precise estimation of the position of the mobile terminal (MT) associated with a number of given base stations. The ability to support position location within wireless networks provides network operators with valuable services, as well as users with a host of new applications. This includes navigation, location-based services, network management, and security applications. Nowadays in GSM networks, there is no specific algorithm included in the software to locate subscribers. The only possibility to locate a subscriber is accomplished by using GPS technology or special firmware. An innovative development should be the design and implementation of certain location positioning techniques, as Time of Arrival (ToA) and Angle of Arrival (AoA), over the existing GSM network. Although there are already next generation networks in use nowadays (UMTS, GPRS, WLAN), and there also is extensive research towards the fourth generation cellular networks, GSM seems to be the most popular network so far. GPRS network is a data network over GSM platform and it exists only with GSM architecture. The reason is that GPRS uses the GSM air interface (Radio Network Part) and it only diverts in the core network where it transmits the data packets towards a different switch. UMTS, on the other hand, is a unique network supporting cellular and voice-data applications, and is the evolution of GSM towards IP applications. Although it could be implemented separately from GSM, most of the operators preferred to implement it in a GSM convergence mode towards the core network for eliminating the investment. As a result, in most countries GSM is the major network with full geographical coverage and network location positioning techniques are most implemented in a network environment with a satisfactory number of Base Stations.

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