Publications by the researcher in collaboration with Tiancheng Li (36)


  1. A Robust Multi-Sensor PHD Filter Based on Multi-Sensor Measurement Clustering

    IEEE Communications Letters, Vol. 22, Núm. 10, pp. 2064-2067

  2. Distributed Flooding-then-Clustering: A Lazy Networking Approach for Distributed Multiple Target Tracking

    2018 21st International Conference on Information Fusion, FUSION 2018


  1. A survey of recent advances in particle filters and remaining challenges for multitarget tracking

    Sensors (Switzerland), Vol. 17, Núm. 12

  2. Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond

    Frontiers of Information Technology and Electronic Engineering, Vol. 18, Núm. 12, pp. 1913-1939

  3. Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors

    Information Sciences, Vol. 388-389, pp. 172-190

  4. Convergence of distributed flooding and its application for distributed Bayesian filtering

    IEEE Transactions on Signal and Information Processing over Networks, Vol. 3, Núm. 3, pp. 580-591

  5. Multi-EAP: Extended EAP for multi-estimate extraction for SMC-PHD filter

    Chinese Journal of Aeronautics, Vol. 30, Núm. 1, pp. 368-379

  6. Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection

    Applied Soft Computing Journal, Vol. 60, pp. 436-446

  7. On generalized covariance intersection for distributed PHD filtering and a simple but better alternative

    20th International Conference on Information Fusion, Fusion 2017 - Proceedings

  8. Track a smoothly maneuvering target based on trajectory estimation

    20th International Conference on Information Fusion, Fusion 2017 - Proceedings


  1. A short revisit of nonlinear Gaussian filters: State-of-the-art and some concerns

    2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016

  2. Adaptive M-Estimation for Robust Cubature Kalman Filtering

    2016 Sensor Signal Processing for Defence, SSPD 2016

  3. Algorithm design for parallel implementation of the SMC-PHD filter

    Signal Processing, Vol. 119, pp. 115-127

  4. Effectiveness of Bayesian filters: An information fusion perspective

    Information Sciences, Vol. 329, pp. 670-689

  5. Fitting for smoothing: A methodology for continuous-time target track estimation

    2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016

  6. MEAP: Approximate optimal estimate extraction for the SMC-PHD filter

    FUSION 2016 - 19th International Conference on Information Fusion, Proceedings