基于PSO的无源卫星TDOA和FDOA定位

2011 10th IEEE/ACIS International Conference on Computer and Information Science Pub Date : 2011-05-16 DOI:10.1109/ICIS.2011.47

Y. Bin, Qiu Yan, Lu An Nan

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引用次数: 5

摘要

利用TDOA和FDOA测量的被动定位通常没有直接的解决方案，需要数值方法来确定发射器的地理位置。研究了一种基于粒子群算法的卫星无源定位方法，为解决非线性优化问题提供了一种进化计算方法。然而，粒子群算法在使用地球表面约束条件时是一个有约束的非线性优化问题，不能直接应用于卫星无源定位。我们建议直接利用地球表面约束来“放飞”粒子群。计算机仿真结果表明了该定位方法的有效性。

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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PSO Based Passive Satellite Localization Using TDOA and FDOA Measurements

Passive localization using TDOA and FDOA measurements usually does not have direct solution and requires numerical methods to determine the emitter's geolocation. We examine a satellite passive localization method based on particle swarm optimization(PSO), which provides an evolutionary computation method to solve the nonlinear optimal problem. However, PSO can not be straightforwardly applied to satellite passive localization because it is a constrained nonlinear optimal problem when using the constraint condition of the earth surface. We suggest "flying" the particle swarm directly using the earth surface constraint. Computer simulation results show the effectiveness of the new localization method.

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2011 10th IEEE/ACIS International Conference on Computer and Information Science

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