距离-多普勒传感器分布式多目标跟踪

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI:10.5281/ZENODO.43667

G. Battistelli, L. Chisci, C. Fantacci, A. Farina, A. Graziano

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引用次数: 2

摘要

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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Distributed multitarget tracking with Range-Doppler sensors

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.

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21st European Signal Processing Conference (EUSIPCO 2013)

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