基于MQNM的双基地雷达目标定位改进算法

针对求解双基地雷达目标定位问题常用的Gauss-Newton法自身固有的缺点,如收敛精度和收敛速度依赖于迭代初值与真实值的接近程度和函数的非线性程度,进一步考虑了目标函数Hessian阵的二阶信息,结合MQNM法(修正拟牛顿法)提出了一种双基地雷达目标定位问题的优化改进算法。计算机仿真结果表明了该算法的可行性和有效性。

Improved algorithm for locating targets in bistatic radar system based on MQNM

Aiming at the inherent defect of the Gauss-Newton method which is commonly used for solving the problem of the target location in bistatic radar system,such as the convergence precision and rate depend on both the distance between the initial value of iteration and the true value of the target and the nonlinear level of the objective function.The second order information on the Hessian of the objective function is further concerned.And an improved algorithm for the target location in bistatic radar system is developed based on the modified quasi-Newton method.The computer simulation results show that the convergence precision and rate of the algorithm are encouraging.