gps

To get a more accurate data from GPS, Kalman filter is being recommended. But I can't find any tutorial how to implement Kalman Filter for GPS, android. GPS Data are already heavily Kalman filtered. This is done inside the GPS receiver. Dont expect an accuracy gain in position (lat / lon) if you create your own kalman filter. Further you dont have the information that the internal GPS receiver had. It feeds its internal kalman filter 1000 time / per second, before it outputs one location. In your own post processing filter you might gain a smoother track (related to visualizing the positions).

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

What is the statistical intention, even if an approximation, of the returned "accuracy" or "uncertainty" on iOS? For instance Android documentation gives an interpretation of its returned accuracy figure as being approximately one standard deviation in this sense: We define accuracy as the radius of 68% confidence. In other words, if you draw a circle centered at this location's latitude and longitude, and with a radius equal to the accuracy, then there is a 68% probability that the true location is inside the circle. In statistical terms, it is assumed that location errors are random with a

I am trying to implement a fitness app that can keep track of the running speed and running distance in Android. It looks like I can either use GPS or Accelerometer to calculate these information. Since a runner may put his phone in hand, on the shoulder or in his pocket, my first intuition is to use GPS to get locations and calculate running speed and running distance. But recently someone telled me that I can also use Accelerometer also does that. My question is: In Android, which approach is better to calculate running speed and running distance, GPS or Accelerometer? I suspect that

全球时区的划分： 　　每个时区跨15°经度。以0°经线为界向东向西各划出7.5°经度，作为0时区。即0时区的经度范围是7.5°W——7.5°E。从7.5°E与7.5°W分别向东、向西每15°经度划分为一个时区，直到东11区和西11区。东11区最东部的经度是172.5°E，由172.5°E——180°之间就是东12区。西11区最西部的经度是172.5°W，由172.5°W——180°之间就是西12区。东、西12区各占经度7.5°，合成一个完整的时区，即全球总共划分为24个时区。东、西12区钟点相同，日期相差1天，因此180°称为理论上的国际日期变更线。 　　由于地球的自转运动，不同地区有不同的地方时间，为了解决时间混乱的问题，采取了划分时区的办法。每个时区中央经线所在地的地方时间就是这个时区共用的时间，称为区时。在实际应用中各国不完全按照区时来定时间，许多国家制定一个法定时，作为该国统一使用的时间，例如我国使用120°E的地方时间，称为北京时间。 　　GPS 上电后，每隔一定的时间就会返回一定格式的数据，数据格式为： $信息类型，x，x，x，x，x，x，x，x，x，x，x，x，x每行开头的字符都是'$'，接着是信息类型，后面是数据，以逗号分隔开。 一行完整的数据如下： $GPRMC,080655.00,A,4546.40891,N,12639.65641,E,1.045,328.42