首页> 外文会议>Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th >A heterogeneous Markov chain model of target existence variable for Bayesian track-before-detect
【24h】

A heterogeneous Markov chain model of target existence variable for Bayesian track-before-detect

机译:贝叶斯先验轨迹目标存在变量的异构马尔可夫链模型

获取原文
获取原文并翻译 | 示例

摘要

A heterogeneous Markov chain (MC) model, instead of the homogeneous MC model, is proposed in this paper to describe target existence variable for Bayesian track-before-detect. The proposed model is more consistent with the transitions of target existence variable, which leads to the improvement of the performance of detection and tracking.
机译:本文提出了一种异构的马尔可夫链模型,而不是齐次的MC模型来描述贝叶斯先验轨迹的目标存在变量。该模型与目标存在变量的转换更加吻合,从而提高了检测和跟踪的性能。

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