兰剑

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个人简介

兰剑,国家级高层次人才特聘教授、某计划重点项目技术首席专家、教育部自动化教指委委员;主要研究方向为多源信息融合及智能信息处理,包括多传感器目标检测、识别、定位与跟踪等,应用领域包括防空、反导、自动驾驶、低空监管等;提出序贯混合式融合、不相关转换滤波、条件联合决策与估计等理论与技术;在IEEE汇刊等顶级刊物及会议上发表论文100余篇;主持国家级及其他项目40余项;获得国家级和省部级奖励10余项。

Experience Summary

· Target Detection, Classification, and Tracking

  - Multiple maneuvering target detection and tracking,

  - Extended object and group target tracking (EOT&GTT) and classification,

  - Bearings-only tracking, angle-only tracking.

· Estimation and Filtering

  - Estimation (linear minimum mean square error (LMMSE) estimation, Kalman filter),

  - Nonlinear filtering (generalized conversion based filter (GCF), uncorrelated conversion based filter (UCF)).

· Multiple-Model Estimation

  - Variable-structure multiple-model (VSMM) estimation,

  - Higher-order Markov Chain based multiple-model estimation.

· Joint Decision and Estimation

  - Joint tracking and classification (JTC),

  - Joint fault detection, identification, and state estimation.

· Performance Evaluation

  - Estimation/Decision performance evaluation and ranking,

  - Performance evaluation without knowing ground truth.

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