Global Convergent Method Applied to Nonlinear Least Square Estimation in Target Location
LU Fa-xing · Fire Control and Command Control · 2003
Global convergence strategy is combined to gauss-newton method that performs the virtue of insensitiveness to initial guess in iteration algorism, when applied to nonlinear least square estimation in target location, the algorism can approach the precise guess by iterations with the noise-polluted initial guess. A gauss-newton method with global convergence strategy is deduced in 2D target location in bistatic radar system.