Improved Location Accuracy Using Least Square Distance Estimation for Circular Positioning Technique Based on Stationary Signal-Strength-Difference Measurements

Depending on the circular positioning technique, we propose a simple method to correct the error in the corresponding distances estimated from the stationary signal-strength-difference (SSSD) measurements. The method is based on expressing the corresponding distances as being similar to GPS pseudo-range equations from which an equivalent set of distance difference equations can be formulated. By solving these equations using the least square (LS) algorithm, the corresponding distances are corrected to be more accurate to reduce the location error. The theoretical findings were backed up with a practical experiment conducted in a commercial cellular network. Numerical results show that a substantial improvement in the location accuracy can be demonstrated.