Nonlinear parameter estimation for calibration and installation of an ultra-short baseline system
Zhao Li · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2010
The performance of non-linear parameter estimation methods for the installation and calibration of ultra-short baseline(USBL) arrays was compared.An improved algorithm was proposed,where the parameters were estimated using a loop algorithm and then a non-cycle(direct) method was used to revise them.The equation of observation needed to solve the calibration problems for installation was found.Newton's method,the trust region method,steepest descent method,Gauss-Newton method and the improved Gauss-Newton method were implemented to solve the equation and their performance was analyzed and compared with non-cyclic algorithm for non-linear model parameter estimation,and then an improved algorithm that combines with a non-cyclic algorithm and a loop algorithm was given.The algorithm's procedures were discussed,and then sea trial data was used to verify its efficiency.