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How do I check my Iphone GPS signal strength? 

GPS signals
Noise (signal processing)
Global Positioning System
GPS/INS
Assisted GPS

Answers from top 10 papers

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Papers (10)Insight
Open access•Book Chapter•DOI
Sensing and classifying impairments of GPS reception on mobile devices
Henrik Blunck, Mikkel Baun Kjærgaard, Thomas Skjødeberg Toftegaard 
12 Jun 2011
27 Citations
We present results that the GPS performance degradation on modern smart phones for different hand grip styles and body placements can cause signal strength drops as high as 10-16 dB and double the positioning error.
Journal Article•DOI
Accuracy of iPhone Locations: A Comparison of Assisted GPS, WiFi and Cellular Positioning
Paul A. Zandbergen
26 Jun 2009-Transactions in Gis
451 Citations
Results indicate that A-GPS locations obtained using the 3G iPhone are much less accurate than those from regular autonomous GPS units (average median error of 8 m for ten 20-minute field tests) but appear sufficient for most Location Based Services (LBS).
Proceedings Article•DOI
Determination of GPS RF signal strengths
G. Var Rosenbaum
05 May 2008
5 Citations
This methodology is especially applicable for calibration of GPS signal and noise levels for receiver testing.
Open access•Journal Article•DOI
Performance Enhancement of Land Vehicle Positioning Using Multiple GPS Receivers in an Urban Area.
Jong-Hwa Song, Gyu-In Jee 
14 Oct 2016-Sensors
7 Citations
In urban areas, the GPS suffers from insufficient signal strength, multipath propagation and non-line-of-sight (NLOS) errors, so it thus becomes difficult to obtain accurate and reliable position information.
Open access•Journal Article•DOI
Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular Networks
Paweł Foremski, Michał Gorawski, Krzysztof Grochla, Konrad Połys 
02 Sep 2015-Sensors
23 Citations
To address these requirements, this paper proposes an application for measuring the location and signal strength data based on energy-efficient GPS tracking, which allows one to perform the measurements of human mobility and radio signal levels with minimum energy utilization and without any engagement of the user.
Open access•Journal Article•DOI
Effect of Environmental Parameters on GSM and GPS
Dalip, Vijay Kumar 
27 Aug 2014-Indian journal of science and technology
24 Citations
The results show humidity, pressure, temperature and air condition effect signal strength values of GSM and accuracy of GPS.
Journal Article•DOI
Validity and reliability of an iPhone App to assess time, velocity and leg power during a sit-to-stand functional performance test
J.D. Ruiz-Cárdenas, J.J. Rodríguez-Juan, Rowan R. Smart, Jennifer M. Jakobi, Gareth R. Jones 
01 Jan 2018-Gait & Posture
21 Citations
The results of this study identify that this iPhone App is reliable for measuring STS and the derived values of time, velocity and power shows strong associations with age and handgrip strength.
Open access•Journal Article•DOI
CAPTURE: A Mobile Based Indoor Positioning System using Wireless Indoor Positioning System
Yohanes Erwin Dari, Suyoto Suyoto, Pranowo Pranowo 
23 Jan 2018-International Journal of Interactive Mobile Technologies (ijim)
20 Citations
By using the information of the Received Signal Strength (RSS) obtained from AP, then the location of the device can be determined without the need to use GPS.
Proceedings Article•DOI
A low-cost GPS/INS integration based on UKF and BP neural network
Qian Zhang, Baokui Li 
01 Aug 2014
14 Citations
The model has been verified to have good performance for fusing GPS and INS data, even when GPS signal is unavailable.
Journal Article•DOI
Using GPS for monitoring tall-building response to wind loading: filtering of abrupt changes and low-frequency noise, variography and spectral analysis of displacements
Dionissios T. Hristopulos, Stelios P. Mertikas, I. Arhontakis, James M. W. Brownjohn 
08 Mar 2007-Gps Solutions
25 Citations
The proposed analysis of the GPS signal provides a method for cross-validating the GPS and accelerometer measurements, and shows that “educated” filtering of the GPS signal can reveal essential features of the building’s response to wind loading.

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