基于辅助变量法的双基阵纯方位目标跟踪算法

伪线性估计算法是主要的纯方位目标跟踪算法之一，其计算简单，但估计结果严重有偏。针对伪线性估计算法估计的有偏性，提出了一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进。该算法将上一时刻的目标估计值进行一次Levenberg-Marquardt迭代而得到的估计值作为辅助变量，进而对目标参数进行加权的最小二乘估计。通过仿真说明了利用该方法在不同的测量环境噪声下所得到的位置、速度跟踪误差曲线能快速地逼近CRLB，比双基阵EKF滤波器及伪线性估计算法有着更好的收敛速度和跟踪精度，证明了该方法的有效性。

Bistatic bearings-only target tracking algorithm based on instrumental variable method

Pseudo-linear estimation algorithm is one of the primary bearings-only target tracking algorithms.Although the algorithm could be implemented simply,it produces serious deviate estimates.A new instrumental variable method is presented to improve the bistatic localization performance.The value of object state obtained from last time is iterated once by Levenberg-Marquardt algorithm,and the iterative value is used as an auxiliary variable to estimate the motion parameters by the weighted least-square method.S...