The calculations here are in watt (hence always positive). Once you covert it to dBm, you will get your negative answer :)
Arik On Fri, May 21, 2010 at 10:52, raoudha baklouti <[email protected]>wrote: > Thank you, but if Rx and Tx =1 the RSSI value will not be negatif???? > Cordially > > --- En date de : *Ven 21.5.10, Arik Sapojnik <[email protected]>* a > écrit : > > > De: Arik Sapojnik <[email protected]> > Objet: Re: [Tinyos-help] Formula of RSSI > À: "raoudha baklouti" <[email protected]> > Cc: "tinyos-help!!" <[email protected]> > Date: Vendredi 21 mai 2010, 9h40 > > > I'm not familiar with this equipment. Probably your Rx and Tx gain is 1 (no > gain). > But if you want to be more acurate - you should contact the vendor. > > Arik > > > > > On Fri, May 21, 2010 at 10:04, raoudha baklouti > <[email protected]<http://mc/[email protected]> > > wrote: > >> Can you help me to compute the Gain of the antenna, I have a base station >> BU2400 and a sensor SN24040 >> Cordially, >> >> --- En date de : *Jeu 20.5.10, Arik Sapojnik >> <[email protected]<http://mc/[email protected]> >> >* a écrit : >> >> >> De: Arik Sapojnik >> <[email protected]<http://mc/[email protected]> >> > >> Objet: Re: [Tinyos-help] Formula of RSSI >> À: "raoudha baklouti" >> <[email protected]<http://mc/[email protected]> >> > >> Cc: >> [email protected]<http://mc/[email protected]> >> Date: Jeudi 20 mai 2010, 19h40 >> >> You can use this: >> http://en.wikipedia.org/wiki/Friis_transmission_equation >> >> Arik >> >> >> >> On Thu, May 20, 2010 at 19:50, raoudha baklouti < >> [email protected]<http://mc/[email protected]> >> > wrote: >> >>> Spam detection software, running on the system " >>> mail.Millennium.Berkeley.EDU", has >>> identified this incoming email as possible spam. The original message >>> has been attached to this so you can view it (if it isn't spam) or label >>> similar future email. If you have any questions, see >>> the administrator of that system for details. >>> >>> Content preview: I want to compute RSSI theoretically, can someone give >>> me >>> the formula?Cordially I want to compute RSSI theoretically, can someone >>> give >>> me the formula? Cordially [...] >>> >>> Content analysis details: (3.7 points, 3.3 required) >>> >>> pts rule name description >>> ---- ---------------------- >>> -------------------------------------------------- >>> 3.2 FH_DATE_PAST_20XX The date is grossly in the future. >>> 0.0 HTML_MESSAGE BODY: HTML included in message >>> 0.0 BAYES_50 BODY: Bayesian spam probability is 40 to 60% >>> [score: 0.4994] >>> 1.1 DNS_FROM_OPENWHOIS RBL: Envelope sender listed in >>> bl.open-whois.org. >>> -0.6 AWL AWL: From: address is in the auto white-list >>> >>> The original message was not completely plain text, and may be unsafe to >>> open with some email clients; in particular, it may contain a virus, >>> or confirm that your address can receive spam. If you wish to view >>> it, it may be safer to save it to a file and open it with an editor. >>> >>> >>> >>> _______________________________________________ >>> Tinyos-help mailing list >>> [email protected]<http://mc/[email protected]> >>> https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help >>> >> >> >> >> -- >> Best Regards, >> Arik Sapojnik >> >> >> > > > -- > Best Regards, > Arik Sapojnik > > > -- Best Regards, Arik Sapojnik
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