xforce30164
Active Member
I just came up with an idea for some kind of "3D-rssi" plot. the idea is that you can view rssi-data in two ways (for now).
1. The first one being a top-view with your receiver in the middle.
a) With the height levels for a specific RSSI value. (somewhat like this:
but less detailed probably. but where each line represents the altitude range where the specified RSSI value has been received.)
b) For a specific height the received RSSI values.
this should enable you to get an idea of the performance of your antenna as well as identify where you have a drop in RSSI, (due to buildings for example).
The basic idea to get the dataset for now is as follows:
The left diagram/sketch shows how, when looking from above, the area is divided into smaller sectors/squares.
You can choose R1 (total width) and R2 (width per sector).A large R1 and small R2 will result into high resolution data, but large files. A small R1 and larger R2 (R2 < R1) results into less detailed data but smaller files.
The second diagram/sketch shows the side-view. It divides the total height (H1) into smaller slices each of height H2. Here the same holds as for R1 and R2 with respect to precision and file-size.
You will also be able to enter the height of your receiver and define an offset for the base/bottom slice (section AD).
The thing is, to get good data, you theoretically need to have measurements in each sector and in each height slice. However most of the time this will not be the case. but this quartile im also following the course "Statistics and Probability" at my university. So I'll maybe also look into "completion"/guestimating missing data. (with an option to turn this on or off)
1. The first one being a top-view with your receiver in the middle.
a) With the height levels for a specific RSSI value. (somewhat like this:

b) For a specific height the received RSSI values.
this should enable you to get an idea of the performance of your antenna as well as identify where you have a drop in RSSI, (due to buildings for example).
The basic idea to get the dataset for now is as follows:
The left diagram/sketch shows how, when looking from above, the area is divided into smaller sectors/squares.
You can choose R1 (total width) and R2 (width per sector).A large R1 and small R2 will result into high resolution data, but large files. A small R1 and larger R2 (R2 < R1) results into less detailed data but smaller files.
The second diagram/sketch shows the side-view. It divides the total height (H1) into smaller slices each of height H2. Here the same holds as for R1 and R2 with respect to precision and file-size.
You will also be able to enter the height of your receiver and define an offset for the base/bottom slice (section AD).
The thing is, to get good data, you theoretically need to have measurements in each sector and in each height slice. However most of the time this will not be the case. but this quartile im also following the course "Statistics and Probability" at my university. So I'll maybe also look into "completion"/guestimating missing data. (with an option to turn this on or off)