In this study, the authors develop a new algorithm for passive source localisation using time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements. In this algorithm, the position and velocity of the target source are successively estimated by formulating two alone semidefinite programming problems, where the variances of the TDOA and FDOA measurement noises can be separated and neglected. Unlike the traditional methods, the authors’ approach does not require the prior knowledge of the TDOA/FDOA measurement noise power. Simulation results indicate that the proposed algorithm outperforms the existing methods under unknown noise power knowledge.

中文翻译：

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在未知噪声功率知识下使用TDOA和FDOA测量进行源定位

在这项研究中，作者开发了一种使用到达时间差（TDOA）和到达频率差（FDOA）测量的被动源定位新算法。在该算法中，通过公式化两个单独的半定规划问题来连续估计目标源的位置和速度，在该问题中，TDOA和FDOA测量噪声的方差可以被分离和忽略。与传统方法不同，作者的方法不需要TDOA / FDOA测量噪声功率的先验知识。仿真结果表明，在未知噪声功率知识条件下，该算法优于现有算法。