Feng Lian

According to our database, Feng Lian authored at least 32 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Filtering in Triplet Markov Chain Model in the Presence of Non-Gaussian Noise with Application to Target Tracking.

Guanghua Zhang, Xiqian Zhang, Linghao Zeng, Shasha Dai, Mingyu Zhang, Feng Lian

Remote. Sens., December, 2023

2022

Gaussian-Beta Filters With Unknown Probability of Measurement Loss.

Guanghua Zhang, Feng Lian, Linghao Zeng, Na Fu, Shasha Dai, Xinqiang Liu

IEEE Access, 2022

An Adaptive δ-GLMB Filter Under Noise Statistics Mismatch.

Feng Lian, Yiru Lian, Liming Hou

Proceedings of the 25th International Conference on Information Fusion, 2022

Robust Labeled Multi-Bernoulli Filter with Inaccurate Noise Covariances.

Yiru Lian, Feng Lian, Liming Hou

Proceedings of the 25th International Conference on Information Fusion, 2022

Global Sensing and Measurements Reuse for Image Compressed Sensing.

Zi-En Fan, Feng Lian, Jia-Ni Quan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Robust Generalized Labeled Multi-Bernoulli Filter for Multitarget Tracking With Unknown Non- Stationary Heavy-Tailed Measurement Noise.

Liming Hou, Feng Lian, Shuncheng Tan, Congan Xu, Giuseppe Thadeu Freitas de Abreu

IEEE Access, 2021

2020

Robust $\delta$-Generalized Labeled Multi-Bernoulli Filter for Nonlinear Systems with Heavy-tailed Noises.

Liming Hou, Feng Lian, Giuseppe Thadeu Freitas de Abreu, Shuncheng Tan

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2018

Sensor Selection for Decentralized Large-Scale Multi-Target Tracking Network.

Feng Lian, Liming Hou, Bo Wei, Chongzhao Han

Sensors, 2018

Constrained Multi-Sensor Control Using a Multi-Target MSE Bound and a δ-GLMB Filter.

Feng Lian, Liming Hou, Jing Liu, Chongzhao Han

Sensors, 2018

Two novel sensor control schemes for multi-target tracking via delta generalised labelled multi-Bernoulli filtering.

Guanghua Zhang, Feng Lian, Chongzhao Han, Hui Chen, Na Fu

IET Signal Process., 2018

2016

Multi-Target Joint Detection and Estimation Error Bound for the Sensor with Clutter and Missed Detection.

Feng Lian, Guanghua Zhang, Zhansheng Duan, Chongzhao Han

Sensors, 2016

Distributed compressed sensing based joint detection and tracking for multistatic radar system.

Jing Liu, Feng Lian, Mahendra Mallick

Inf. Sci., 2016

Error bounds for joint detection and estimation of multiple unresolved target-groups.

Feng Lian, Zhansheng Duan, Xianghui Yuan, Chongzhao Han

Digit. Signal Process., 2016

2015

General similar sensing matrix pursuit: An efficient and rigorous reconstruction algorithm to cope with deterministic sensing matrix with high coherence.

Jing Liu, Mahendra Mallick, Feng Lian, Chongzhao Han, MingXing Sheng, Xianghua Yao

Signal Process., 2015

Error bound for joint detection and estimation of multiple targets with random finite set state and observation.

Feng Lian, Jing Liu, Chongzhao Han

Signal Process., 2015

Joint detection and estimation error bounds for an unresolved target-group using single or multiple sensors.

Feng Lian, Jing Liu, Mahendra Mallick, Chongzhao Han

Digit. Signal Process., 2015

2014

Similar sensing matrix pursuit: An efficient reconstruction algorithm to cope with deterministic sensing matrix.

Jing Liu, Mahendra Mallick, Chongzhao Han, Xianghua Yao, Feng Lian

Signal Process., 2014

An improved PHD filter based on variational Bayesian method for multi-target tracking.

Guanghua Zhang, Feng Lian, Chongzhao Han, Suying Han

Proceedings of the 17th International Conference on Information Fusion, 2014

CBMeMBer filters for nonstandard targets, II: Unresolved targets.

Guanghua Zhang, Feng Lian, Chongzhao Han

Proceedings of the 17th International Conference on Information Fusion, 2014

CBMeMBer filters for nonstandard targets, I: Extended targets.

Guanghua Zhang, Feng Lian, Chongzhao Han

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets.

Xianghui Yuan, Feng Lian, Chongzhao Han

J. Appl. Math., 2013

Splitting Matching Pursuit Method for Reconstructing Sparse Signal in Compressed Sensing.

Jing Liu, Chongzhao Han, Xianghua Yao, Feng Lian

J. Appl. Math., 2013

A Novel Coherence Reduction Method in Compressed Sensing for DOA Estimation.

Jing Liu, Chongzhao Han, Xianghua Yao, Feng Lian

J. Appl. Math., 2013

Multitarget tracking algorithm based on clutter model estimation.

Ning Lv, Feng Lian, Chongzhao Han

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

A Bayesian estimation for single target tracking based on state mixture models.

Weifeng Liu, Chenglin Wen, Chongzhao Han, Feng Lian

Signal Process., 2012

Unified cardinalized probability hypothesis density filters for extended targets and unresolved targets.

Feng Lian, Chongzhao Han, Weifeng Liu, Jing Liu, Jian Sun

Signal Process., 2012

Convergence Analysis for the SMC-MeMBer and SMC-CBMeMBer Filters.

Feng Lian, Chen Li, Chongzhao Han, Hui Chen

J. Appl. Math., 2012

Convergence Results for the Gaussian Mixture Implementation of the Extended-Target PHD Filter and Its Extended Kalman Filtering Approximation.

Feng Lian, Chongzhao Han, Jing Liu, Hui Chen

J. Appl. Math., 2012

Joint spatial registration and multi-target tracking using an extended PM-CPHD filter.

Feng Lian, Chongzhao Han, Weifeng Liu, Jing Liu, Xianghui Yuan

Sci. China Inf. Sci., 2012

2010

Fusion performance analysis with the correlation.

Xianghui Yuan, Chongzhao Han, Feng Lian

Proceedings of the 13th Conference on Information Fusion, 2010

2009

An alternative derivation of a Bayes tracking filter based on finite mixture models.

Weifeng Liu, Chongzhao Han, Feng Lian

Proceedings of the 12th International Conference on Information Fusion, 2009

2008

Adaptive on-line registration algorithm based on GLR.

Feng Lian, Chongzhao Han, Yong Shi

Proceedings of the International Joint Conference on Neural Networks, 2008