首页> 外国专利> Tracking a body by nonlinear and non-Gaussian parametric filtering

Tracking a body by nonlinear and non-Gaussian parametric filtering

机译:通过非线性和非高斯参数滤波跟踪物体

摘要

A general framework for parametric filters is based on belief condensation (BC), which can cope with highly nonlinear and non-Gaussian system models. The methodology exploits the specific structure of the problem and decomposes it in such a way that the linear and Gaussian part can be solved in closed form, while the remaining parts are addressed by an optimization process, referred to as BC. Simulation results show that the performance of the proposed BC filter is close to that of the particle filter, but with a much lower complexity.
机译:参数滤波器的一般框架基于信念凝聚(BC),可以应对高度非线性和非高斯的系统模型。该方法利用问题的特定结构并将其分解,以使线性和高斯部分可以封闭形式求解,而其余部分则通过优化过程(称为BC)来解决。仿真结果表明,所提出的BC滤波器的性能接近于粒子滤波器,但复杂度低得多。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号