trilateration

I am having some trouble to find or implement an algorithm to find a signal source. The objective of my work is to find the sound emitter position. To accomplish this I am using three vibration sensors. The technique that I am using is multilateration that is based on the time difference of arrival. The time difference of arrival between each sensor are found using Cross Correlation of the received signals. I already implemented the algorithm to find the time difference of arrival, but my problem is more on how multilateration works, it's unclear for me based on my reference, and I couldn't

I am having some trouble to find or implement an algorithm to find a signal source. The objective of my work is to find the sound emitter position. To accomplish this I am using three microfones. The technique that I am using is multilateration that is based on the time difference of arrival . The time difference of arrival between each microfones are found using Cross Correlation of the received signals. I already implemented the algorithm to find the time difference of arrival , but my problem is more on how multilateration works, it's unclear for me based on my reference, and I couldn't

I'm trying to implement a trilateration algorithm into my Android app to determine a user's indoor location. I'm using ultra-wideband beacons to get the distances to fixed points. I was able to adapt the method suggested in Trilateration Method Android Java as follows: public LatLng getLocationByTrilateration( LatLng location1, double distance1, LatLng location2, double distance2, LatLng location3, double distance3){ //DECLARE VARIABLES double[] P1 = new double[2]; double[] P2 = new double[2]; double[] P3 = new double[2]; double[] ex = new double[2]; double[] ey = new double[2]; double[] p3p1

I'm a student at the University of Furtwangen in Germany. I am in my final term and I am writing my thesis now. I'm very interested in iBeacons and the technology behind them. My current project is to compare the beacon technology with other technologies like GPS, Wireless-location, GSM, and NFC. For my thesis, I will create different use-cases and compare the results. Over the last few days I've tried to determine my position in a room. I use the relative distance (accuracy) from three beacons and gave every beacon a fixed position in my room. I get three circles and calculate 6 intersections

Well for triangulation you need to have the direction from which your device is receiving the signal.We can calculate Angle of Arrival for that but calculating that angle requires an array of receivers. Is a cell phone capable of calculating Angle of Arrival? I am asking this because I have came across the terms like wifi/BLE triangulation, calculating position by triangulation etc but they're actually referring to Trilateration in most of the cases. I know how trilateration works for a mobile and all the details but I don't think Triangulation is possible. And if it is possible, how is it

first question to StackOverflow, please be gentle. I am trying to find the equation (and then the algorithm for) the center point of three different points on a 2D cartesian plane, given a certain magnitude or "signal strength". These signal strengths are all on a scale relative to each other, but shouldn't necessary be conflated with "radius" of a circle. Wikipedia entry on trilateration: http://en.wikipedia.org/wiki/Trilateration I've also checked out this thread, but it's a little different than what I need Trilateration using 3 latitude and longitude points, and 3 distances A general

I should be developing an indoor positioning system for some place , so I started by gathering info about how to develop such a system , the question I am up to now is : what controls the accuracy of positioning and how to improve it ? I found different APIs and projects with various accuracies , for example : ericsson indoor positioning API provides an accuracy within 10 meters , while Qubulus API provides an accuracy within 4 meters , and I met some projects like iDOCNET which claims to provide an accuracy of about 1.2 meters. So, what is the main component of the indoor navigating systems