Results 31 to 40 of about 22,571 (199)

A Robust STAP Method Based on Alternating Projection and Clutter Cancellation

IEEE Access, 2019
Space-time steering vector mismatch of targets usually happens in the space-time adaptive processing (STAP) technique, causing space-time beam distortion. Due to the effects of clutter spectrum broadening and jamming, performance of the conventional STAP
Ningkang Chen, Ping Wei, Xiaoyu Ai
doaj   +1 more source

A Space-Time Adaptive Processing Method Based on Sparse Reconstruction of Reverberation Interference

Xibei Gongye Daxue Xuebao, 2020
Aiming at the problem of how to obtain reverberation samples and estimate their covariance matrix in the space-time adaptive processing(STAP) of sonar system, a new space-time adaptive processing method is proposed based on sparse reconstruction of ...

doaj   +1 more source

Deep Unfolding Based Space-Time Adaptive Processing Method for Airborne Radar

Leida xuebao, 2022
The Sparse Recovery Space-Time Adaptive Processing (SR-STAP) method can use a small number of training range cells to effectively suppress the clutter of airborne radar.
Hangui ZHU, Weike FENG, Cunqian FENG, Bo ZOU, Fuyu LU   +4 more
doaj   +1 more source

Overview of Space-Time Adaptive Processing for Airborne Multiple-Input Multiple-Output Radar

Leida xuebao, 2015
Multiple-Input Multiple-Output (MIMO) radar is an emerging radar system that is of great interest to military and academic organizations due to its advantages and extensive applications.
Wang Ting, Zhao Yong-jun, Hu Tao
doaj   +1 more source

Sea Clutter Suppression for Shipborne DRM-Based Passive Radar via Carrier Domain STAP

Remote Sensing
This paper proposes a new carrier domain approach to suppress spreading first-order sea clutter in shipborne passive radar systems using Digital Radio Mondiale (DRM) signals as illuminators.
Yijia Guo, Jun Geng, Xun Zhang, Haiyu Dong   +3 more
doaj   +1 more source

Improved Dimension-Reduced Structures of 3D-STAP on Nonstationary Clutter Suppression for Space-Based Early Warning Radar

Remote Sensing, 2022
By introducing degrees of freedom (DOFs) in elevation, the elevation-azimuth-Doppler three-dimensional space–time adaptive processing (3D-STAP) methods have better performance when suppressing the nonstationary clutter caused by the Earth’s rotation in ...
Zhihao Wang, Wei Chen, Tianfu Zhang, Mengdao Xing, Yongliang Wang   +4 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

Robust knowledge-aided sparse recovery STAP method for non-homogeneity clutter suppression

The Journal of Engineering, 2019
Conventional space–time adaptive processing (STAP) methods would suffer severely performance loss in the complex clutter environment of an airborne-phased array radar, especially when the estimated clutter covariance matrix (CCM) is corrupted by the ...
Hao Peng, Yuze Sun, Xiaopeng Yang, Jian Yang   +3 more
doaj   +1 more source

The Feasibility and Test‐Retest Reliability of Wireless Dry‐Electrode EEG During a Dynamic Psychomotor Virtual Reality Task

Brain and Behavior, Volume 15, Issue 4, April 2025.
ABSTRACT Purpose Virtual reality (VR) offers immersive environments for studying psychomotor performance, but the reliability of dry‐electrode electroencephalography (EEG) in assessing brain activity during dynamic VR exergames (VRex) remains unclear.
Jazmin Morrone, Rik Mellor, Sidney Grosprêtre, Charles R. Pedlar, Giuseppe Cimadoro   +4 more
wiley   +1 more source

An Overview on Sparse Recovery-based STAP

Leida xuebao, 2014
This paper gives a brief review on the Sparse-Recovery (SR)-based Space-Time Adaptive Processing (STAP) technique. First, the motivation for introducing sparse recovery into STAP is presented.
Ma Ze-qiang, Wang Xi-qin, Liu Yi-min, Meng Hua-dong   +3 more
doaj   +1 more source