利用多普勒的运动单站直接定位算法

Direct Position Determination Algorithm for Single Moving Station Using Doppler

  • 摘要: 针对利用运动单站接收辐射源信号进行目标定位过程中,传统两步定位算法测量参数时会产生信息损失,从而导致估计精度不够理想的问题,提出了一种联合多普勒的运动单站直接定位算法。该算法通过构造代价函数,得到包含辐射源位置信息的共轭矩阵,然后分别针对未知信号和已知信号通过特征值分解求取共轭矩阵的最大特征值,最后进行二维格网型空间索引得到辐射源的位置估计。同时,本文还推导了相应的克拉美罗下界(CRLB),并分析了多普勒测量存在误差下算法的定位性能以及算法的运算量。通过理论分析和仿真实验可以表明,所提出的运动单站直接定位算法对目标位置估计误差能够逼近CRLB,且与两步定位算法相比,具有更好的定位精度。

     

    Abstract: A direct position determination algorithm of array signal for single moving station using doppler is proposed to solve problem that the traditional two-step algorithm’s estimation accuracy is not ideal due to the loss of information for single moving station location. The problem that to get the target position information from the received data is transformed into the issue of getting maximum characteristics of Hermitian matrix comprising a radiation source location information using the maximum likelihood estimation for unknown signal and known signal, and gain the radiation source location by two-dimensional geographic grid searching. At the same time, this paper also deduces the Cramér–Rao lower bound (CRLB), and analyzes the affect of doppler error to algorithm performance and computational load. The theoretical analysis and simulation experiment showed that the estimation error of direct position determination algorithm of single moving station can approximate CRLB, and the positioning accuracy is better compared with the two-step localization algorithm.

     

/

返回文章
返回