scholarly journals Comparative Analysis of Signal Strength of Some Cellular Networks in Port Harcourt, Nigeria.

2018 ◽  
Vol 2 (6) ◽  
Author(s):  
Bodunrin Isa Bakare ◽  
T. E. Ngeri ◽  
Sunny Orike
Keyword(s):  
Comparative Analysis ◽  
Cellular Networks ◽  
Communication Networks ◽  
Measurement Data ◽  
Path Loss ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Least Square ◽  
Port Harcourt ◽  
Rivers State

This paper presents a comparative analysis of the Received Signal Strength (RSS) measurement of some cellular networks in Port Harcourt, Nigeria. Measurements were carried out using Radio Frequency Signal Tracker to determine received signal of three selected Global System for Mobile Communication networks (MTN, Airtel and Globalcom) at five strategic locations (Borokiri, Old Government Residential Area, Rivers State University, Ikwerre Road and Aba Road) in Port Harcourt, Rivers State. From the results obtained it shows that in Borokiri MTN has the highest received signal strength of -61.9dBm, Old GRA Airtel has the highest received signal strength of -61.3dBm, RSU and Ikwerre Road Globalcom has the highest received signal strength of -68.3dBm and -64.9dBm respectively while for Aba Road MTN has the highest received signal strength of -63.0dBm. In all the measurements, the results were analyzed using least square method and standard deviation to approximate the measurement data and path loss model was developed using ordinary least square regression technique.

scholarly journals Analysis of the impact of map-matching on the accuracy of propagation models

2007 ◽  
Vol 5 ◽  
pp. 367-372 ◽  
Author(s):  
M. Neuland ◽  
T. Kürner
Keyword(s):  
Communication Networks ◽  
Measurement Data ◽  
Path Loss ◽  
Map Matching ◽  
Sampling Errors ◽  
Propagation Models ◽  
The Road ◽  
On The Road ◽  
Gps Accuracy ◽  
The Impact

Abstract. Propagation models are very important for the development and deployment of wireless communication networks. They are able to predict the path loss for different propagation conditions, but cannot include all propagation phenomena in detail. This fact leads to variations between predicted and measured field strengths. These variations can be reduced by calibrating some parameters of the propagation models with the help of exact measurement data. However, two problems occur when applying measurement data. On the one hand, the maps used for the prediction have only a limited resolution. On the other hand, the GPS data are erroneous due to the limited GPS accuracy and due to sampling errors. These errors can lead to variations up to 200 m between the measured positions and the possible positions on the road network. Therefore, a map-matching algorithm has to be applied which projects the wrong GPS positions automatically onto the street vectors used for the predictions. Thus, a good basis of data for calibration can be created.

scholarly journals Target Localization with Unknown Transmit Power and Path-Loss Exponent Using a Kalman Filter in WSNs

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6582
Author(s):  
SeYoung Kang ◽  
TaeHyun Kim ◽  
WonZoo Chung
Keyword(s):  
Kalman Filter ◽  
Path Loss ◽  
Target Position ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Target Localization ◽  
Wireless Sensor ◽  
Transmit Power ◽  
Path Loss Exponent ◽  
Localization Algorithms

We present a novel hybrid localization algorithm for wireless sensor networks in the absence of knowledge regarding the transmit power and path-loss exponent. Transmit power and the path-loss exponent are critical parameters for target localization algorithms in wireless sensor networks, which help extract target position information from the received signal strength. In the absence of information on transmit power and path-loss exponent, it is critical to estimate them for reliable deployment of conventional target localization algorithms. In this paper, we propose a simultaneous estimation of transmit power and path-loss exponent based on Kalman filter. The unknown transmit power and path-loss exponent are estimated using a Kalman filter with the tentatively estimated target position based solely on angle information. Subsequently, the target position is refined using a hybrid method incorporating received signal strength measurements based on the estimated transmit power and path-loss exponent. Our proposed algorithm accurately estimates transmit power and path-loss exponent and yields almost the same target position accuracy as the simulation results confirm, as the hybrid target localization algorithms with known transmit power and path-loss exponent. Simulation results confirm the proposed algorithm achieves 99.7% accuracy of the target localization performance with known transmit power and path-loss exponent, even in the presence of severe received signal strength measurement noise.

scholarly journals Analysis of Signal Attenuation in Digital Terrestrial Television (DTTV) Broadcasting

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
B. I. Bakare ◽  
K. J. Biebuma ◽  
Sunny Orike
Keyword(s):  
Research Work ◽  
Path Loss ◽  
Tall Buildings ◽  
Signal Attenuation ◽  
Wet Season ◽  
Path Loss Exponent ◽  
Port Harcourt ◽  
The Mean ◽  
Digital Terrestrial Television ◽  
Rivers State

This paper presents the prediction of signal attenuation Digital Terrestrial Television (DTTV) in Port Harcourt, Rivers State, Nigeria A signal Tracker (WS6916), Micronix Global Positioning System (GSP) module alongside a drive test was used to carry out the research work at Star times office, Olu-Obasanjo Road. The Power Density change with the varying distance between the receiver and the transmitter (Nobe B). For a more concise measurement, readings were taken between April and August 2019 (wet season) at different times of the day. The path loss exponent (n) of 4.7 reveals that Olu-Obasanjo road is an urban area. As the location changed, the path loss exponent (n) increased to 15.4, revealing the interference of tall buildings, and other forms of obstruction. The exponential shape of the graph shows a decaying signal along the distance axis with distance, expatiating that the inverse relationship between powers received (dbm) and distance (km).  Attenuation was observed to have increased while increasing the distance between the transmitter and receiver. The results obtained were analyzed using the log-distance empirical model to obtain both the parameters of Path loss exponent and the Mean Square Error (MSE).

Localizing Jammer for Indoor Mobile Communication Networks

2014 ◽  
Vol 701-702 ◽  
pp. 1063-1066
Author(s):  
Supachai Phaiboon ◽  
Arunee Chatwaranon
Keyword(s):  
Communication Networks ◽  
Path Loss ◽  
Signal Strength ◽  
Indirect Measurement ◽  
Propagation Path ◽  
Strength Measurement ◽  
The Real ◽  
Evaluation Feedback ◽  
Hearing Range ◽  
Mobile Communication Networks

This paper proposes an experimental study for localizing radio jammers in a multi floors building. We performed signal strength measurement to find propagation path loss characteristics in the building. Then communication nodes around the existing jammers were classified in order to determine a set of boundary nodes. The propagation path losses between the real jammers and the boundary nodes are evaluated by a vector pointer namely, the evaluation feedback metric, ez, to find the real jammer location. The proposed algorithm was validated via an indirect measurement called hearing range. The results demonstrate that our approach provides an effective method for jamming localization.

scholarly journals Estimation of Received Signal Strength Distribution for Smart Meters with Biased Measurement Data Set

2016 ◽  
pp. 1-1 ◽  
Author(s):  
Mathias R. Kielgast ◽  
Anders C. Rasmussen ◽  
Mathias H. Laursen ◽  
Jimmy J. Nielsen ◽  
Petar Popovski ◽  
...  
Keyword(s):  
Measurement Data ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Strength Distribution ◽  
Smart Meters ◽  
Data Set

scholarly journals Human-Induced Effects on RSS Ranging Measurements for Cooperative Positioning

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Francescantonio Della Rosa ◽  
Mauro Pelosi ◽  
Jari Nurmi
Keyword(s):  
Human Factors ◽  
Path Loss ◽  
Distance Estimation ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Experimental Investigations ◽  
Positioning Accuracy ◽  
Cooperative Positioning ◽  
Hand Grip ◽  
The Impact

We present experimental evaluations of human-induced perturbations on received-signal-strength-(RSS-) based ranging measurements for cooperative mobile positioning. To the best of our knowledge, this work is the first attempt to gain insight and understand the impact of both body loss and hand grip on the RSS for enhancing proximity measurements among neighbouring devices in cooperative scenarios. Our main contribution is represented by experimental investigations. Analysis of the errors introduced in the distance estimation using path-loss-based methods has been carried out. Moreover, the exploitation of human-induced perturbations for enhancing the final positioning accuracy through cooperative schemes has been assessed. It has been proved that the effect of cooperation is very limited if human factors are not taken into account when performing experimental activities.

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