低功率霍尔推力器束流发散和推力矢量偏心特性研究

为了准确掌握不同工况下混合励磁模式低功率霍尔推力器束流发散和推力矢量偏心特性，凭借自主设计和改进的一套快速评估霍尔推力器束流发散角和推力矢量偏角原位集成诊断装置，系统研究了推力器在不同阳极质量流率、磁场、电场下束流分布和推力矢量偏心特性的变化规律。结果表明，束流发散角随阳极质量流率（0.65mg/s~0.95mg/s）和磁场强度（112Gs~142Gs）的变化呈现负相关的特性。当阳极质量流率0.95mg/s，束流发散角降到29.1°（＜30°）。推力矢量偏角随阳极质量流率和磁场强度的变化分别存在极大值（1.19°）和极小值（0.91°）。束流发散角、推力矢量偏角在250V~330V放电电压范围内基本保持不变。     

A robust Poisson multi-Bernoulli filter for multi-target tracking based on arithmetic average fusion

The coalescence and missed detection are two key challenges in Multi-Target Tracking (MTT). To balance the tracking accuracy and real-time performance, the existing Random Finite Set (RFS) based filters are generally difficult to handle the above problems simultaneously, such as the Track-Oriented marginal Multi-Bernoulli/Poisson (TOMB/P) and Measurement-Oriented marginal Multi-Bernoulli/Poisson (MOMB/P) filters. Based on the Arithmetic Average (AA) fusion rule, this paper proposes a novel fusion framework for the Poisson Multi-Bernoulli (PMB) filter, which integrates both the advantages of the TOMB/P filter in dealing with missed detection and the advantages of the MOMB/P filter in dealing with coalescence. In order to fuse the different PMB distributions, the Bernoulli components in different Multi-Bernoulli (MB) distributions are associated with each other by Kullback-Leibler Divergence (KLD) minimization. Moreover, an adaptive AA fusion rule is designed on the basis of the exponential fusion weights, which utilizes the TOMB/P and MOMB/P updates to solve these difficulties in MTT. Finally, by comparing with the TOMB/P and MOMB/P filters, the performance of the proposed filter in terms of accuracy and efficiency is demonstrated in three challenging scenarios.