Timeline for Bluetooth trilateration using nRF5340
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 24, 2023 at 4:10 | answer | added | Mark Leavitt | timeline score: 1 | |
| Jul 23, 2023 at 19:08 | comment | added | Andreiul | I am aware that this is not the most accurate solution to my problem, but my project does not require accuracy and is a proof of concept one of working with nRF5340 devices in a wireless signal network. I thought that it is easier this way, the RSSI being part of the bluetooth signal. | |
| Jul 23, 2023 at 15:11 | comment | added | Hearth | To expand on Kartman's statement, consider that RSSI, being a measure of signal strength, depends on a lot more than just distance. If there are objects between the transmitter and receiver, they can degrade the received signal strength, and if there are objects around the transmitter and receiver (forming a sort of "corridor" that can guide the signal like a (really bad) waveguide), it can enhance the received signal strength. Both of these effects are deterministic and correlated with the signal and can't be removed by Kalman filtering; Kalman filtering only removes uncorrelated noise. | |
| Jul 23, 2023 at 13:03 | comment | added | Kartman | RSSI is not a particularly good method for distance measurement as it tends to be slow and inaccurate. Time of flight is a more robust technique. | |
| Jul 23, 2023 at 12:44 | history | asked | Andreiul | CC BY-SA 4.0 |