System and method for wireless location

A method for wireless location, comprising:

• collecting a plurality of signal strength values from a plurality of nodes over a time interval, wherein the signal strength values are representative of signal strengths of respective plurality of wireless signals transmitted by at least one of the nodes to at least one other of the nodes, and wherein the nodes are located in an area;
• normalizing the collected signal strength values, wherein the normalizing comprises normalizing the signal strength values with a normalization function, wherein the normalization function is based on a fit of previously collected signal strength values to a pre-determined normalization range;
• evaluating respective locations within the area of the nodes based on the normalized signal strength values, wherein the evaluating comprises evaluating using machine learning technique on the normalized signal strength values, and wherein the machine learning technique comprises a self-organizing map (SOM);
• and
• orienting the location coordinates to an orientation representative of an orientation of the nodes,
• wherein the area includes an indoor facility less than 40 m by 40 m, wherein a distance between at least two of the nodes is less than 5 m, wherein the nodes comprise mobile devices.