lately various powerful algorithms used for extracted feature parameters of underground buried objects. So providing a fast and efficient algorithm to analysing parameters simultaneously could be very useful. Important advantages of this method were that it was non-destructive and didn't need to connection the antenna to ground in field observations. In this research, the Levenberg–Marquardt algorithm,one of the nonlinear least squares algorithms, was used . Most of the existing algorithms were based on a known parameter, such as velocity; suggested algorithm in this research set the convergence rate with Complexity of the objective function and performs the fitting process with a arranging parameter. this algorithm estimated the radius and velocity , in three steps. These steps are: Estimation of the hyperbolic coordinates, calculation of maximum velocity, and then estimation velocity and radius. Data in this study were related to Isfahan Electricity Tunnel (The tunnel is located at Tohid street, between Police crossroads and Zayandeh Rud. To performance the procedure, first the algorithm was writed in MATLAB software and then implemented it on the artificial and real models. The performance of algorithm on artificial models, showed that fitted curve on both artificial models had high accuracy and the error calculation of velocity and radius was in acceptable range. Error calculating radius and velocity in the first artificial model were 17.98% and 11.08% , and in the second model were 19.48% and 0.25% respectively. A part of this error related to digitizing error. The calculation error of radius and velocity in the main models for first selected profile is respectively 10% 2.5% and for the second selected profile is respectively 10.8% 3%.