Robust subspace tracking methods based on fast and stable DPM algorithm

A recursive identification approach with gradient subspace tracking for MIMO-OFDM channels

IET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07) ◽

10.1049/cp:20070272 ◽

2007 ◽

Author(s):

Zhang Jing ◽

Li Li ◽

Dong Jianping

Keyword(s):

Recursive Identification ◽

Subspace Tracking ◽

Mimo Ofdm ◽

Identification Approach

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Anomaly and Degradation Detection Using Subspace Tracking in Streaming Data

2020 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata50022.2020.9377804 ◽

2020 ◽

Author(s):

Kyungduck Cha ◽

Carol Sadek ◽

Zohreh Asgharzadeh

Keyword(s):

Streaming Data ◽

Subspace Tracking

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Subspace tracking for group-blind multiuser detectors

1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363) ◽

10.1109/vetec.1999.780507 ◽

2003 ◽

Author(s):

Jae-Chon Yu ◽

A. Host-Madsen

Keyword(s):

Subspace Tracking ◽

Multiuser Detectors

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Recursive least-squares-based subspace tracking

10.1117/12.190847 ◽

1994 ◽

Author(s):

Bin Yang

Keyword(s):

Least Squares ◽

Recursive Least Squares ◽

Subspace Tracking

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Low-Complexity Adaptive Algorithms for Robust Subspace Tracking

IEEE Journal of Selected Topics in Signal Processing ◽

10.1109/jstsp.2018.2876626 ◽

2018 ◽

Vol 12 (6) ◽

pp. 1197-1212 ◽

Cited By ~ 1

Author(s):

Nguyen Linh-Trung ◽

Viet-Dung Nguyen ◽

Messaoud Thameri ◽

Truong Minh-Chinh ◽

Karim Abed-Meraim

Keyword(s):

Adaptive Algorithms ◽

Low Complexity ◽

Subspace Tracking

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Provable Dynamic Robust PCA or Robust Subspace Tracking

IEEE Transactions on Information Theory ◽

10.1109/tit.2018.2872023 ◽

2019 ◽

Vol 65 (3) ◽

pp. 1547-1577 ◽

Cited By ~ 4

Author(s):

Praneeth Narayanamurthy ◽

Namrata Vaswani

Keyword(s):

Subspace Tracking ◽

Robust Pca

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Interference alignment for MIMO cognitive networks: a complex FDPM-based subspace tracking approach

International Journal of Embedded Systems ◽

10.1504/ijes.2013.057089 ◽

2013 ◽

Vol 5 (3) ◽

pp. 166

Author(s):

Bin Zhu ◽

Jianhua Ge ◽

Jing Li ◽

Xiaoye Shi ◽

Yunxia Huang

Keyword(s):

Interference Alignment ◽

Cognitive Networks ◽

Subspace Tracking

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A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing

Journal of Electrical and Computer Engineering ◽

10.1155/2010/973718 ◽

2010 ◽

Vol 2010 ◽

pp. 1-6

Author(s):

Yang Zhiwei ◽

He Shun ◽

Liao Guisheng ◽

Ouyang Shan

Keyword(s):

Processing Technique ◽

Space Time ◽

Heterogeneous Environments ◽

Adaptive Processing ◽

Subspace Tracking ◽

Performance Simulation ◽

Power Iteration ◽

Radar Applications ◽

Tracing Algorithm ◽

Space Time Adaptive Processing

We propose a subspace-tracking-based space-time adaptive processing technique for airborne radar applications. By applying a modified approximated power iteration subspace tracing algorithm, the principal subspace in which the clutter-plus-interference reside is estimated. Therefore, the moving targets are detected by projecting the data on the minor subspace which is orthogonal to the principal subspace. The proposed approach overcomes the shortcomings of the existing methods and has satisfactory performance. Simulation results confirm that the performance improvement is achieved at very small secondary sample support, a feature that is particularly attractive for applications in heterogeneous environments.

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