There are many different factors that influence signal strength and quality, including but not limited to: On the opposite side, professionals with a good understanding of this ratios are able for example, to correctly assess the RF links, and also to perform more extensive optimizations, obtaining the best possible performance of the system. This article talks about another magnitude, equally important: the RSRP/RSRP (bm) & RSRQ (dB), which impacts strenght and quality of signal.Īlthough this ratios are of fundamental importance to any cellular system, they are not well understood by many professionals. The Signal Strength is a very important and essential measure for any technology (GSM, CDMA, UMTS, LTE, etc.). This article explains how to interpret some of them : RSCP, RSRP and RSRQ. ) display some parameters to help optimizing 2G/3G/4G connexions. Lastly LTE RSRP error analysis etween estimated and measured LTE RSRP fingerprint DB.This article applies only for all devices > 3G (Not 2G).Īll devices (smartfones, 4G routers. Next, stimation of LTE RSRP fingerprint DB on a specific LTE cell using Gaussian process regression. First, Analysis of LTE SRP raw data on a specific LTE cell, which is collected through repeated war-driving in a specific test environment. In this paper, the following echnical feasibility on LTE RSRP fingerprint DB estimation for emergency location will be studied and analyzed. As an alternative to this, further research is needed to estimate the LTE SRP fingerprint DB of non-collecting points based on the data collected roughly through war driving. To improve he positioning performance of the LTE RSRP fingerprint DB generated by the offline phase, it is required to collect its location and TE RSRP data densely, but it is expensive and laborious. Typical LTE Reference Signal Received Power (RSRP) fingerprint ositioning method includes the offline phase that generates an LTE RSRP fingerprint DB based on the collected data and the nline phase in which the generated DB is compared with the measured value of the terminal to calculate the position. dense rban/urban/suburban/rural) in case of emergency location service, it is primarily required to enhance LTE signal based positioning echnology that provides signal coverage of 99% or more in Korea. In order to improve indoor and outdoor positioning accuracy in various positioning environments (e.g.
Full Text Download: isgnss2019-006.pdf (1.9M)įeasibility Analysis on LTE RSRP Fingerprint DB Estimation using Sparse War-Driving Collecting Data for Emergency Location
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