Problem in DF of signals in the air

Quote from najisamirnader on 06/02/2023, 10:31thanks for the suggestion.
can you explain about accumulation type for time compression option?
I mean "average" and "power" options.
I think average option simply use the mean metric but how about power?
I ask this since I think power option works better am I right?
thanks for the suggestion.
can you explain about accumulation type for time compression option?
I mean "average" and "power" options.
I think average option simply use the mean metric but how about power?
I ask this since I think power option works better am I right?


Quote from najisamirnader on 06/02/2023, 12:17by the way can you explain about "power" type?
by the way can you explain about "power" type?

Quote from mm_dev on 06/02/2023, 16:28"Average" calculates the average using the dBm numbers directly, so the average of -30 dBm and -90 dBm is -60 dBm.
"Power" calculates the average using the normalized Watt values. -30 dBm equals 0.001 mW, -90 dBm equals 0.001 nW, so the average is basically 0.0005 mW, which converts back to about -33 dBm. This is the more "correct" way, but in most cases the difference is minimal as we're dealing with millions of samples at a time, and it is a lot more expensive in terms of CPU power.
"Average" calculates the average using the dBm numbers directly, so the average of -30 dBm and -90 dBm is -60 dBm.
"Power" calculates the average using the normalized Watt values. -30 dBm equals 0.001 mW, -90 dBm equals 0.001 nW, so the average is basically 0.0005 mW, which converts back to about -33 dBm. This is the more "correct" way, but in most cases the difference is minimal as we're dealing with millions of samples at a time, and it is a lot more expensive in terms of CPU power.

Quote from najisamirnader on 12/02/2023, 06:58thanks for the Reply
thanks for the Reply