哈尔滨工程大学学报2016，Vol.37Issue(10)：1347-1352,6.DOI:10.11990/jheu.201510074
二阶自适应权值粒子滤波的多传感器信息融合
Multi-sensor information fusion of a particle filter on the basis of a two-stage adaptive weight
摘要
Abstract
In order to solve the problems of low quality and degeneration of particles in the process of particle filte⁃ring, a particle filtering algorithm based on the two⁃stage adaptive weight was proposed. The algorithm was divided into two steps. First, multi⁃sensor data was sent to the appropriate particle filter calculation module, with optimizing particle distribution as a purpose, and the proposed distribution density was updated. Second, in the final particle filter module based on the adaptive weight, a complete likelihood function was structured. Meanwhile, by Euclidean distance and the accuracy factor reflecting the statistic properties of the measured noise, the distribution of the a⁃daptive weight was adjusted to attain a more accurate estimate. A simulation experiment shows the effectiveness of the algorithm.关键词
自适应权值/粒子滤波/信息融合/多传感器/建议分布密度Key words
adaptive adjusted weight/particle filter/information fusion/multisensor/proposal density分类
信息技术与安全科学引用本文复制引用
张闯,郭晨..二阶自适应权值粒子滤波的多传感器信息融合[J].哈尔滨工程大学学报,2016,37(10):1347-1352,6.基金项目
国家自然科学基金项目（61374114，51579024）；中央高校基本科研业务费专项资金资助（3132016311，3132016005）． （）
