Introduction - If you have any usage issues, please Google them yourself
Aiming at the problem that the heteroscedasticity of observation errors leads to low locating accuracy in DV-Hop algorithm based on hyperbolic positioning, this paper proposes an improved DV-Hop algorithm which based on weighted hyperbolic positioning. The algorithm analysis the heteroscedasticity of the error term in the model and takes advantage of weighted least square method which corrects heteroscedasticity straightforwardly. Then, the weight matrix related to least hops between nodes is deduced, the estimators thus obtained are more close to the best linear unbiased estimator. The simulation results show that the location performance of the improved algorithm is better than that of the exsiting DV-Hop algorithm which based on hyperbolic positioning.