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Object pursuit method in 3 dimensional space which utilizes the acoustic sensor which is based on the particle filter

机译:利用基于粒子滤波器的声学传感器的3维空间中物体追踪方法

摘要

Object pursuit method in 3 dimensional space which utilizes the acoustic sensor which is based on the particle filter is disclosed. Still particle filtering algorithm for former bearing - only tracking instead of definite Hari doing directly in 3 dimensional space, this invention, being various, reconstructs 3 dimensional particle filter in the simple 2 dimensional particle filter. Reconstruction and the selection for 2 dimensional particle filter are based on the quality of the acoustic sensor with noise environment. This invention is expanded with multiplex particle filter connection, but virility of this invention with as for efficiency, the Lao theoretical limit (Cramer Rao Lower Bound: CRLB) using, it can be proven. As for this invention, although making the computational complexity decrease, there is a merit which can do accurate 3 dimensional object pursuit. Selective figure Figure 4
机译:公开了利用基于粒子滤波器的声传感器的3维空间中的物体追踪方法。用于前方位的静止粒子滤波算法-仅跟踪而不是直接在3维空间中执行确定的Hari,本发明多种多样,在简单的2维粒子滤波器中重建3维粒子滤波器。二维粒子滤波器的重建和选择基于具有噪声环境的声传感器的质量。本发明通过多重粒子过滤器的连接而扩展,但是可以证明使用本发明的有效性,效率,老挝理论极限(Cramer Rao Lower Bound:CRLB)。对于本发明,尽管降低了计算复杂度,但是具有可以进行精确的3维物体追踪的优点。<选择图>图4

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