多向性
FDOA公司
算法
迭代法
高斯噪声
最小二乘函数近似
泰勒级数
初始化
噪音(视频)
趋同(经济学)
数学
计算机科学
克拉姆-饶行
估计理论
统计
估计员
人工智能
数学分析
几何学
方位角
经济
经济增长
程序设计语言
图像(数学)
标识
DOI:10.1109/tsp.2004.831921
摘要
This paper proposes an algebraic solution for the position and velocity of a moving source using the time differences of arrival (TDOAs) and frequency differences of arrival (FDOAs) of a signal received at a number of receivers. The method employs several weighted least-squares minimizations only and does not require initial solution guesses to obtain a location estimate. It does not have the initialization and local convergence problem as in the conventional linear iterative method. The estimated accuracy of the source position and velocity is shown to achieve the Crame/spl acute/r-Rao lower bound for Gaussian TDOA and FDOA noise at moderate noise level before the thresholding effect occurs. Simulations are included to examine the algorithm's performance and compare it with the Taylor-series iterative method.
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