基于联合TDOA/FDOA的单站无源相干定位CWLS算法

A Single-Observer Passive Coherent Location CWLS Algorithm Based on Joint TDOA/FDOA

针对利用单站实现对运动目标位置和速度的估计精度不够理想的问题,提出了一种基于联合TDOA/FDOA的单站无源相干定位(PCL)约束加权最小二乘(CWLS)算法。首先根据运动目标、观测接收站与机会照射源三者之间构建的联合TDOA/FDOA方程,建立伪线性方程并将其线性化,然后根据目标到观测接收站的距离与目标位置之间的函数约束关系,建立为CWLS定位模型,并采用迭代方法进行求解。仿真实验和结果分析表明,在存在测量误差的情况下,该算法仍然能够逼近克拉美罗界(CRLB)。

To solve the target location＇s estimation accuracy is not good enough for the single-observer passive coherent location（PCL） using illuminators of opportunity,a constrained weighted least squares（CWLS） location algorithm based on time differences and frequency differences of arrival is proposed. Firstly,introducing the range from the target to the observer and illuminators of opportunity as the additional variable,the TDOA and FDOA measurement equations are linearized. Considering the relationship between the additional variable and the target location,the location problem is established as a CWLS model. To solve the CWLS model to obtain the estimation of the target position and velocity,the solution is derived based on iterative method. Finally,the theoretical error and the Cramer Rao Lower Bound（CRLB） are also derived. Simulation results show that the proposed algorithm approaches the CRLB at high noise level.