• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Highest density gates for target tracking
【24h】

Highest density gates for target tracking

机译：最高密度的门用于目标跟踪

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The problem of forming validation regions or gates for new sensor measurements obtained when tracking targets in clutter is considered. Target dynamics and measurement characteristics are modeled with, possible non-Gaussianities or nonlinearities, so that some degree of approximation is usually required in the computation of the filtering densities for the target position and predictive densities for future measurements. Highest density gates (HDGs) are proposed as summaries of the predictive densities. These gates are constructed numerically, via simulation from the filtering density approximation. The algorithm results in gates that are “exact” (up to numerical accuracy) regardless of the approximation used for the filtering density. That is, given an approximation to the filtering density, the gating procedure accounts for all further nonlinearities and non-Gaussianities. Numerical example show that when the predictive density is markedly non-Gaussian, HDGs offer advantages over the more common rectangular and ellipsoidal gates
机译：考虑了在杂波中跟踪目标时形成用于新传感器测量的验证区域或门的问题。目标动力学和测量特性会采用可能的非高斯或非线性建模，因此在计算目标位置的滤波密度和未来测量的预测密度时通常需要某种程度的近似。提出了最高密度的门（HDG）作为预测密度的汇总。这些门是根据滤波密度近似值通过仿真以数字方式构造的。该算法得出的门是“精确的”（达到数值精度），而与用于滤波密度的近似值无关。也就是说，给定滤波密度的近似值，门控过程考虑了所有进一步的非线性和非高斯性。数值示例表明，当预测密度明显为非高斯分布时，HDG相对于更常见的矩形和椭圆形浇口具有优势

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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