User guide

Aries Reference Manual Section 2 – Viewing and Analysing Data
Radio Systems Information Ltd. Page 24
2.4.3 Square Km Analysis
The square km analysis provides a method of analysing the data that prevents the results being biased by
taking too many samples in one location.
The analysis process creates a grid of 1km squares across the survey area and then allocates each
sample to the relevant square. If more than a minimum number of samples have been taken in a square
then all of the samples in that square are used to determine if the square has passed or failed. Three
different criteria are available for determining the status of the square:
RSSI pass = greater than x% of the samples greater than y dBm signal level
Call Success pass = greater than x% of call attempts successful
Call Setup Time pass = greater than x% of the call attempts less than y msec
Handovers: pass = less than x% of all events
Handover Time: pass = greater than x% of handovers less than y msec
IP Data Test Success: pass = greater than x% no error
IP Data Test Time: pass = greater than x% of tests less than y msec
Squares are then coloured according to whether they have passed or failed.
To make it easier to see the squares the icons may be hidden by clicking the ‘Hide Icons’ tickbox.
The square Km grid is locked to the Ordnance Survey grid in the U.K. and to the UTM grid in the rest of the
world.
Figure 24: Example of Square Km Analysis, red squares have failed the criteria