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Iterative Particle Reduction Methods and Systems for Localization and Pattern Recognition
Iterative Particle Reduction Methods and Systems for Localization and Pattern Recognition
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机译:用于定位和模式识别的迭代粒子约简方法和系统
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摘要
Systems and methods using iterative particle reduction for localization and pattern recognition are disclosed. In one embodiment, a method for localization of a plurality of sensor nodes includes establishing a set of particles representing candidate positions for the plurality of sensor nodes; iteratively reducing the set of particles using a plurality of particle reduction iterations, wherein each particle reduction iteration eliminates at least some particles based on at least one constraint and a set of remaining particles from a prior iteration; and after performing the plurality of particle reduction iterations, determining a set of probable locations of the plurality of sensor nodes based on a final set of particles.
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