杂波环境中认知雷达相位编码波形设计

Phase Code Waveform Design for Cognitive Radar in Presence of Signal-Dependent Interference

针对相位编码这一非线性优化求解问题,提出了一种改进牛顿法的迭代求解算法。首先对杂波环境中的相位编码波形进行建模,然后求解出目标函数的海赛尔矩阵(Hessian矩阵),再利用变化梯度法去逼近它的最优点,最后调用牛顿法求解出最优相位编码。实验仿真表明,该算法收敛速度较快,并验证了该算法的有效性和可行性。

To solve the phase encoding nonlinear optimization method for iterative solution algorithm is propoesd.First phase e modeled,and then the objective function Hessian matrix is ncoding problem, an improved Newton waveform clutter environment is solved,reusing change in the gradient method to approximate the most advantages,and finally calling the Newton method for solving the optimal phase encoding.Simulation results indicate that the algorithm converges faster,and verify the effectiveness and feasibility of the algorithm.