Results 61 to 70 of about 714 (131)

Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing

IEEE Access, 2018
In space–time adaptive processing (STAP) technique, the estimation of the interference-plus-noise covariance matrix is one of the critical points.
Yu Zhao, Shaohua Wan, Songtao Lu, Jinping Sun, Peng Lei   +4 more
doaj   +1 more source

A Joint Sparse Space-Time Adaptive Processing Method

IEEE Access
At present, most of the sparse space-time adaptive processing(STAP) methods focus on exploiting the clutter sparsity. In this paper, different from the present sparse STAP methods, both the clutter sparsity and the target sparsity in STAP are considered ...
Jinfeng Hu, Yuyan Xia, Huiyong Li, Jing Liang, Tao Lin   +4 more
doaj   +1 more source

Performance analysis of adaptive algorithms for space-time adaptive processor (STAP) in phased array radar

The Journal of Engineering, 2019
The most challenging task in phased array radar system is the mitigation or suppression of noise and interferences to enhance the useful signal in radar received signals.
Raafia Irfan, Haroon ur Rasheed, Waqas A Toor, Muhammad Ashraf   +3 more
doaj   +1 more source

Cognitive Space-time Adaptive Processing Technology for Airborne Radar in Complex Environments

Leida xuebao
China has one of the longest land borders in the world and features a diverse range of terrain types and a dense electromagnetic environment. Therefore, in practical applications, airborne radar faces complex environments.
Wenchong XIE, Yuanyi XIONG, Wei CHEN, Chengyin LIU, Buqiu TIAN, Ming HOU, Chenran GAO, Yongliang WANG   +7 more
doaj   +1 more source

Joint Correlations Sparse Bayesian Learning STAP With Prior Knowledge of Clutter Ridge

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Space-time adaptive processing (STAP) based on sparse Bayesian learning (SBL) can significantly improve clutter suppression performance utilizing clutter sparsity.
Junhao Cui, Zhangxin Chen, Jing Liang
doaj   +1 more source

Local Degree of Freedom of Clutter for Reduced-Dimension Space-Time Adaptive Processing with MIMO Radar

International Journal of Antennas and Propagation, 2018
Degree of freedom (DOF) of clutter in the reduced-dimension (RD) domain, which is called local DOF (LDOF), is of great importance for RD MIMO-STAP (space-time adaptive processing for multiple-input multiple-output radar) algorithms.
Yiduo Guo, Jian Gong, Yu Xiao
doaj   +1 more source

Abstracts of the 18th SCWD Conference, 11‐13 December 2025 in Rome/Italy

JCSM Communications, Volume 9, Issue 1, January/June 2026.
wiley   +1 more source

A Fast IAA–Based SR–STAP Method for Airborne Radar

Remote Sensing
Space–time adaptive processing (STAP) is an effective technology in clutter suppression and moving target detection for airborne radar. When working in the heterogeneous environment, the number of training samples that satisfy independent and identically
Shuguang Zhang, Tong Wang, Cheng Liu, Bing Ren   +3 more
doaj   +1 more source

STAP cells [PDF]

Journal of Medical Ultrasonics, 2014
openaire   +2 more sources

A novel sparse recovery space‐time adaptive processing algorithm using the log‐sum penalty to approximate the ℓ0 − norm penalty

IET Radar, Sonar & Navigation
Applying the sparse recovery (SR) technique to airborne radar space‐time adaptive processing (STAP) can greatly reduce the number of required training samples, which is advantageous in detecting targets in non‐homogeneous and non‐stationary clutter ...
Kun Liu, Tong Wang
doaj   +1 more source