【摘要】 基于状态空间方法提出了一种适用于宽带阵列雷达距离、速度和角度三维参数的联合估计方法。根据宽带阵列雷达三参数信号模型,给出对应参数估计的克拉美罗下界(CRLB);通过构造广义Hankel矩阵,将现有的状态空间方法推广到三维参数联合估计问题上。实验仿真表明,该方法对于雷达三维参数联合估计是有效的,可一致逼近CRLB,且比传统快速傅里叶逆变换(IFFT)方法具有更好的参数估计和目标分辨性能。更多还原

【Abstract】 In this paper a new method that based on state space estimation method is proposed to make joint estimation of the three parameters of range, velocity and angle for multi targets. According to the signal model of wideband array radar, we derived the Cramer-Rao Low Bound(CRLB) of these parameters, via constructing generalized Hankel matrix,we extend the sate space method into three dimension parameters. Numerical simulations show that the proposed method is an efficient method to estimate these parameters, which can uniformly approach to the CRLB. Meanwhile, compared to convention IFFT method, the proposed State-Space(SS) method gain better estimation and resolution property.更多还原