基于多普勒频率与距离数据融合的脱靶量参数估计  

Research of Miss Distance Parameters Estimation Based on Data Fusion of Doppler Frequency and Range

作　　者：冯定伟[1] 吴嗣亮[1] 魏国华[1] 王旭[1] 

机构地区：[1]北京理工大学信息与电子学院,北京100081

出　　处：《电子与信息学报》2012年第11期2615-2620,共6页Journal of Electronics & Information Technology

摘　　要：该文提出了一种同时应用多普勒频率和距离信息的脱靶量参数估计方法。该方法将多普勒频率信息和距离信息根据测量数据的噪声协方差进行非线性加权数据融合处理,建立相应的最小二乘过程的代价函数并利用非线性优化方法对脱靶量参数进行求解。通过对参数估计克拉美罗界的理论推导说明了该方法相对于应用单一多普勒频率或距离观测量的方法对参数估计性能的改善,并应用数值计算方法对参数估计性能进行了分析,最后通过计算机仿真验证了该方法的有效性。A method of miss distance parameters estimation by utilizing simultaneously Doppler frequency and range information is proposed. According to the noise covariance of measured data, the proposed method first deals with Doppler frequency and range information of echo through the non-linear weighted data fusion, and establishes the corresponding cost function of least squares process, then utilizes the nonlinear optimization method to solve the miss distance parameters. The improvement of estimation performance of the proposed method, compared with the single observable measurement, Doppler frequency or range information, is illustrated by the theoretical derivation of Cramer-Rao Lower Bound （CRLB）. Meanwhile, numerical calculation of CRLB is used to analyze the estimation performance. Finally, the computer simulation verifies the validity of the method.

关 键 词：脱靶量参数估计 数据融合 多普勒频率 

分 类 号：TN957.52[电子电信—信号与信息处理]