一种估计TDOA和FDOA的智能算法

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI:10.1109/ITAIC.2014.7065099

Zhiyu Lu, Jian Hui Wang, Da Wang, Yue Wang

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引用次数: 1

摘要

用交叉模糊函数估计TDOA和FDOA的计算量很大。现有的基于遍历理论的算法实时性差。针对这一问题，根据交叉模糊函数的特点，提出了改进的遗传算法。通过跟踪种群的收敛程度和多次种群初始化的自适应突变概率，有效地提高了种群的多样性，避免了算法陷入局部最优。仿真结果表明，与现有算法相比，改进算法的计算效率有了很大提高，可以快速得到TDOA/FDOA估计结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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One intelligent algorithm for estimation of TDOA and FDOA

The calculation is large to estimate the TDOA and FDOA with cross ambiguity function. Existing algorithms which are based on the ergodic theory have poor real-time performance. To solve this problem, the genetic algorithm is proposed with improvements based on the characteristics of cross ambiguity function. With the self-adapting mutation probability by following the convergence extent of the population and multiple population initializations, the diversity of the population is effectively improved to prevent the algorithm into a local optimum. The simulation results show that the computational efficiency of the improved algorithm, compared with the existing algorithms, is greatly improved, and the TDOA/FDOA estimation results can quickly be obtained.

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2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference

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