融合多普勒频移信息的阵列数据域直接定位方法

相比于传统两步定位方法，直接定位方法具有更高的定位精度，但现有的基于阵列模型的直接定位方法未能够有效利用多普勒频移信息，其定位精度有待进一步提升。针对上述问题，该文提出一种融合多普勒频移信息的阵列数据域直接定位方法。首先构建了融合多普勒信息的直接定位模型，然后基于最大似然准则将信号源位置估计转化为求解位置信息矩阵最大特征值问题，并结合矩阵转置性质降低复杂度，最后通过2维搜索得到目标信号源位置估计。仿真结果表明，所提方法较目前的阵列数据域直接定位方法和多普勒频移直接定位方法的定位精度具有较大提高。

Array-based Direct Position Determination Method Fusing Doppler Frequency Shift Information

The Direct Position Determination (DPD) methods outperform the classic two-step localization methods in localization accuracy, while the existing DPD methods based on array antenna models do not exploit Doppler frequency shift information to improve localization accuracy further. Fusing Doppler frequency shift information, a DPD method based on array antenna model is proposed to overcome the above mentioned shortcoming. Firstly, a DPD model fusing Doppler frequency shift information is constructed. Then, a maximum likelihood estimator is designed and emitters position estimation is transformed to calculating the maximum eigenvalue of the matrix containing location information. The property of eigenvalue keeping unchanged after matrix transpose is used to simplify the calculation. Finally, the emitters position is estimated via a two-dimensional grid search. Simulations show that the proposed method is superior over the DPD methods based on array antenna models and the DPD methods only using Doppler frequency shift information in localization accuracy.