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何胜阳 , 杜杰朋 , 赵雅琴 , 等 . 基于TDOA的无人机集群协同单目标定位 [J ] . 系统工程与电子技术 , 2023 , 45 ( 1 ): 1 - 8 . DOI: 10.12305/j.issn.1001-506X.2023.01.01 http://doi.org/10.12305/j.issn.1001-506X.2023.01.01 无源定位作为现代信息化战场中电子侦察的重要技术, 可以在自身不辐射电磁波的情况下实现对敌方目标的精确定位。以高灵活性、高安全性的无人机(unmanned aerial vehicle, UAV)集群为接收站, 研究基于到达时差测量的辐射源定位方法。作为高机动平台, UAV集群的位置误差更大, 基于该情况对Chan算法、Taylor算法进行改进, 并提出了一种粒子群泰勒协同的解算方法。与其他方法的定位结果进行对比, 仿真结果表明所提的方法定位精度接近克拉美罗下界(Cramer-Rao lower bound, CRLB), 解决了Taylor算法的初值问题。

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ZHANG L C , QU J Q , PAN G , et al . Analysis of cooperative positioning error and formation configuration of swarm AUV based on geometric interpretation [J ] . Journal of Northwestern Polytechnical University , 2020 , 38 ( 4 ): 755 - 765 . (in Chinese) DOI: 10.1051/jnwpu/20203840755 http://doi.org/10.1051/jnwpu/20203840755 https://www.jnwpu.org/10.1051/jnwpu/20203840755 https://www.jnwpu.org/10.1051/jnwpu/20203840755 Because the evaluation of the location performance of AUVs with the lower bound of the Cramer-Rao inequality is not intuitive, the geometric interpretation method is proposed based on geometric ellipse. The Fisher information matrix is used to replace the Cramer-Rao inequality. The priori information matrix and the measurement information matrix are synthesized into the posterior information matrix through singular value decomposition. The geometric ellipse is used to geometrically represent the posterior information matrix. The posterior information ellipse area is used to establish the location performance evaluation function. By analyzing the performance evaluation function, the optimal formation configurations of single-master, dual-master and three-master AUVs are designed. The implementation of the special formation configuration for the three-master AUV formation proposed in the paper is easier, while the location performance of the optimal formation configuration is not much inferior. The simulation results verify that the optimal formation configuration has a higher location accuracy and that the special formation configuration is effective.

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