Measurement based prediction method for radiation path loss
First Claim
1. A measurement-based prediction method for radiation path loss over a predetermined area to create an optimized path loss model, comprising the steps of:
- determining a received signal strength at at least one first station resulting from a transmission of known properties from at least one second station, the first and second stations having known locations;
determining radiation path loss data on the basis of the received signal strengths and topographical information of the predetermined area;
analysing the determined radiation path loss data to determine coefficients for a radiation propagation model;
applying the radiation propagation model to generate first predicted radiation path loss data at each of the locations of the first stations and over the predetermined area and to create a first path loss model;
determining shadowing values on the basis of differences between the received signal strength and the first predicted radiation path loss data at each of the locations of the first stations;
analysing the shadowing values to yield shadowing parameters representative of the predetermined area; and
generating shadowing predictions over the predetermined area on the basis of the shadowing parameters and combining such shadowing predictions with the first predicted radiation path loss data to generate second predicted radiation path loss data over the predetermined area and to create a second, optimized path loss model.
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Abstract
A measurement-based prediction method for radiation path loss over a predetermined area comprises the steps of: determining a received signal strength (2) at least one first station resulting from a transmission of known properties (4, 6) from at least one second station, the first and second stations having known locations; determining radiation path loss data on the basis of the received signal strengths (2) and topographical information (6) of the predetermined area; analyzing the determined radiation path loss data to determine coefficients for a radiation propagation model; applying the radiation propagation model (10) to generate first predicted radiation path loss data at each of the locations of the first stations and over the predetermined area; determining shadowing values on the basis of differences between the received signal strength (2) and the first predicted radiation path loss data at each of the locations of the first stations; analysing the shadowing values to yield shadowing parameters representative of the predetermined area; and generating shadowing predictions over the predetermined area on the basis of the shadowing parameters and combining such shadowing predictions with the first predicted radiation path loss data to generate second predicted radiation path loss data over the predetermined area (22).
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Citations
26 Claims
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1. A measurement-based prediction method for radiation path loss over a predetermined area to create an optimized path loss model, comprising the steps of:
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determining a received signal strength at at least one first station resulting from a transmission of known properties from at least one second station, the first and second stations having known locations; determining radiation path loss data on the basis of the received signal strengths and topographical information of the predetermined area; analysing the determined radiation path loss data to determine coefficients for a radiation propagation model; applying the radiation propagation model to generate first predicted radiation path loss data at each of the locations of the first stations and over the predetermined area and to create a first path loss model; determining shadowing values on the basis of differences between the received signal strength and the first predicted radiation path loss data at each of the locations of the first stations; analysing the shadowing values to yield shadowing parameters representative of the predetermined area; and generating shadowing predictions over the predetermined area on the basis of the shadowing parameters and combining such shadowing predictions with the first predicted radiation path loss data to generate second predicted radiation path loss data over the predetermined area and to create a second, optimized path loss model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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Specification