方位和多普勒频移联合的目标要素估计

提出一种利用目标方位信息和多普勒频移信息联合估计匀速直线运动目标要素的方法。该方法适用于观测站不机动情形下目标运动分析问题。将2种目标信息分别伪线性化，建立对应的伪线性模型，利用最小二乘方法构建2个伪线性滤波器，后融合的方法得到了目标要素估计的算法。与现有的基于方位和多普勒频移进行目标要素估计的方法相比，该方法有以下不同特点：1）2个线性估计器均是二维系统，可观测性增强；2）在多普勒频移估计器中，不需要估计线谱的原信号频率。数值仿真给出了不同观测误差下的算法性能，试验验证了方法的实际有效性。

Estimation of target elements joining bearings with Doppler frequency shift of line spectrum

A method of applying target bearings and Doppler frequency shift of line spectrum to estimate the motion parameters of a constant velocity target is presented in this paper. The method is also valid to target motion analysis without observer maneuver. First, two kinds measurement information of target is linearized and two linear models are constructed. Then using least squared method, two pseudo linear filters are obtained, the arithmetic of target elements estimation is obtained by fusion method. The main advantages of this method comparing with the former results are as follows: 1) Two linear estimators are two-dimensional systems, so the observability of them is enhanced. 2) It doesn’t necessary to estimate the original signal of line spectrum in Doppler frequency shift estimator. Numerical simulations are made to show the performance of arithmetic under different measurement errors, and the effectiveness of the proposed method is verified by experiment results.