【摘要】 纯方位目标运动分析(TMA)是一种非线性估计问题,对测量方程进行线性化处理后对其运动要素的估计可能会出现发散或偏置现象。利用双基阵所提供的方位量测信息,在测量方程伪线性化后使得均方等效误差期望最小来实现目标运动要素无偏估计,通过仿真说明了利用该方法所得到的位置、速度跟踪误差曲线能很好快速地逼近 CRLB,比双基阵 EKF 滤波器有着更好的收敛速度和跟踪精度,证明了该方法的有效性。更多还原

【Abstract】 As we know, the target motion analysis (TMA) is a nonlinear estimation problem because of the nonlinearity of its measure equation. This will result in biased or divergent solution according to the pseudo linear equation derived from measure equation. The authors present an efficient and nearly unbiased algorithm for bistatic bearings-only target localization based on measure angles. This proposed algorithm compared with extended Kalman Filter can achieve the Cramer-Rao Low Bound (CRLB) efficiently for Gaussian noise around small error region through simulations in terms of position and velocity root mean square errors.更多还原