用于目标跟踪的自适应广义调频波形设计算法

提出了一种用于雷达目标跟踪的自适应广义调频波形设计算法。该算法根据跟踪器的动态需求,以广义调频信号为样板波形自适应设计下一时刻的发射波形,其目的是使预测的目标跟踪均方误差最小化,并假定高信噪比条件,且目标跟踪运动模型和观测模型均为线性。利用与某一波形相对应的克拉美-罗下限(CRLB)以及卡尔曼滤波器,通过最小化预测的跟踪均方误差来实现广义调频波形的自适应设计。仿真结果表明:在信噪比相同的情况下,与使用固定参数、自适应参数的线性调频波形设计算法相比,所提出的算法能够获得更低的目标跟踪均方误差。

An adaptive waveform design algorithm for target tracking based on generalized frequency modulation

An adaptive waveform design algorithm for radar target tracking based on generalized frequency modulation(GFM) was proposed.According to the tracker′s dynamical requirements,the algorithm was used to adaptively design the transmitting waveform for the next time step based on GFM signal as a sample waveform in order to minimize the mean squared error(MSE) predicted in target tracking.Given high SNR and the linear dynamical state and observation models,the adaptive design of GFM waveform can be implemented by minimizing the predicted MSE with the Cramer-Rao Lower Bound(CRLB) corresponding to a certain waveform and Kalman filtering.The simulation results show that under the same SNR conditions,the tracking MSE obtained with the proposed algorithm is lower than that of the linear frequency modulation waveform design algorithms in which the fixed or adaptive parameters are used.