Distributed multitarget tracking with Range-Doppler sensors

G. Battistelli, L. Chisci, C. Fantacci, A. Farina, A. Graziano
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引用次数: 2

Abstract

The paper applies a recently developed Consensus Gaussian Mixture - Cardinalized Probability Hypothesis Density (CGM-CPHD) filter to distributed multitarget tracking with range and/or Doppler sensors. It is demonstrated via simulation results on realistic scenarios that the use of Doppler measurements provides a significant tracking performance improvement with respect to using low-accuracy range measurements only. On the other hand, effective distributed Doppler-only multitarget tracking is still an open issue to be investigated.
距离-多普勒传感器分布式多目标跟踪
本文将最近发展的一致高斯混合-基数概率假设密度(CGM-CPHD)滤波器应用于距离和/或多普勒传感器的分布式多目标跟踪。通过对现实场景的仿真结果证明,与仅使用低精度距离测量相比,使用多普勒测量可显著改善跟踪性能。另一方面,有效的分布式多普勒多目标跟踪仍然是一个有待研究的开放性问题。
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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