利用角度和时差的单站外辐射源定位方法

研究了通过单站接收多个外辐射源信号实现对固定目标定位的问题。首先,联合角度(DOA)和时差(TDOA)信息构建测量误差的概率密度函数。然后利用牛顿迭代法求解得到目标位置估计的最大似然解,迭代初值由最小二乘算法给出。最后通过仿真实验证明了联合角度和时差的定位系统克拉美罗界低于TDOA系统,本文算法估计结果误差接近克拉美罗界,通过几何精度因子图,分析了影响定位精度的主要因素是测量误差和目标的位置。

Single-Observer Passive Coherent Location Estimation Based on DOA and TDOA

The growing importance of electronic warfare and information warfare in the modern military field has made localization methods based on passive coherent radar a research hotspot. This paper addresses the problem of how to achieve a fixed target location with a single station receiving a plurality of the external illumination. The joined direction of arrival(DOA) and time difference of arrival(TDOA) are used to construct a probability density function of the measurement error. A Newton iterative method is then used to solve the maximum likelihood(ML) for target position estimation. The initial iteration value is given by a least squares(LS) algorithm. Experimental simulations show that the Cramer-Rao Bound(CRB) for positioning system joint DOA and TDOA information is lower than that of TDOA system. The resulting error in the proposed algorithm is close to the CRB. By means of the UDOP figures we know that the main factors affecting positioning accuracy are measurement errors and the position of the target.