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群目标联合检测与估计误差界的递推形式

连峰 吕宁 韩崇昭

连峰, 吕宁, 韩崇昭. 群目标联合检测与估计误差界的递推形式. 自动化学报, 2015, 41(12): 2026-2035. doi: 10.16383/j.aas.2015.c140794
引用本文: 连峰, 吕宁, 韩崇昭. 群目标联合检测与估计误差界的递推形式. 自动化学报, 2015, 41(12): 2026-2035. doi: 10.16383/j.aas.2015.c140794
LIAN Feng, LV Ning, HAN Chong-Zhao. The Recursive Form of Error Bound for Joint Detection and Estimation of Groups. ACTA AUTOMATICA SINICA, 2015, 41(12): 2026-2035. doi: 10.16383/j.aas.2015.c140794
Citation: LIAN Feng, LV Ning, HAN Chong-Zhao. The Recursive Form of Error Bound for Joint Detection and Estimation of Groups. ACTA AUTOMATICA SINICA, 2015, 41(12): 2026-2035. doi: 10.16383/j.aas.2015.c140794

群目标联合检测与估计误差界的递推形式

doi: 10.16383/j.aas.2015.c140794
基金项目: 

国家重点基础研究发展计划(973计划)(2013CB329405),国家自然科学基金(61473217),陕西省自然科学基金(2014JQ8333)

详细信息
    作者简介:

    吕宁西安交通大学综合自动化研究所博士研究生. 主要研究方向为信息融合理论及应用.E-mail: lvning1108@aliyun.com

    通讯作者:

    连峰西安交通大学综合自动化研究所副教授.主要研究方向为为信息融合与目标跟踪.本文通信作者.

The Recursive Form of Error Bound for Joint Detection and Estimation of Groups

Funds: 

Supported by National Basic Research Program of China (973 Program) (2013CB329405), National Natural Science Foundation of China (61473217), and Natural Science Foundation of Shaanxi Province (2014JQ8333)

  • 摘要: 在随机有限集框架下给出了当杂波和漏检存在时,群目标联合检 测与估计(Joint detection and estimation, JDE)误差界的递推形式. 首先,将多个群目标运动过程建模为一个多Bernoulli过程, 并采用连续个体目标数假设建模群目标观测似然函数; 其次,采用最优子模式 分配距离定义群目标JDE误差; 最终,利用信息不等式推导获得了建议的误差界. 仿真实验在不同杂波密度和检测概率场景下利用群势概率假设密度 和群势平衡多目标多Bernoulli滤波器对该误差界的有效性进行了验证.
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出版历程
  • 收稿日期:  2014-11-18
  • 修回日期:  2015-06-13
  • 刊出日期:  2015-12-20

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