Results 31 to 40 of about 382 (172)

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

A Grid-Less Total Variation Minimization-Based Space-Time Adaptive Processing for Airborne Radar

IEEE Access, 2020
Sparse recovery (SR) based space-time adaptive processing (STAP) has attracted much attention due to its small requirement of snapshots in the estimation of the clutter plus noise covariance matrix (CNCM).
Yuyu Su, Tong Wang, Fuyu Tao, Zhongyue Li   +3 more
doaj   +1 more source

Land Use and Economic Trade‐Offs of Large‐Scale Solar in Agricultural Regions: Marginal National Impacts, Significant Regional Variations

Australian Journal of Agricultural and Resource Economics, Volume 70, Issue 2, Page 395-409, April 2026.
ABSTRACT Large‐scale solar generation is critical for energy transitions. In Australia, increased solar production to meet emission targets means its land footprint increasingly competes with agricultural land. Understanding the scale and location of agricultural land use change and potential profitability losses from large‐scale solar farms is ...
Raymundo Marcos‐Martinez, Stephen Snow, Tim Capon, Quoc Anh Nguyen, Andrea Walton, Stuart Whitten, Benjamin Smith   +6 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

Stap2Go Test: Validity and Sensitivity/Specificity for Attention and Executive Function Assessment

Applied Cognitive Psychology, Volume 40, Issue 2, March/April 2026.
ABSTRACT Attention and executive function difficulties are common in many neurodevelopmental conditions and significantly impact psychological well‐being. However, access to cognitive assessment remains limited due to high costs and resource constraints.
Teresa Rossignoli‐Palomeque, Cristina Romero‐Casas   +1 more
wiley   +1 more source

Best Practice in Climate Change Adaptation

WIREs Climate Change, Volume 17, Issue 2, March/April 2026.
The seven elements of best practice in climate change adaptation. ABSTRACT Climate change adaptation has become a core business for international organizations, firms, and all levels of government in almost every country. Practitioners seek to implement adaptation in the face of myriad barriers and uncertainties and so seek guidance as to what ...
Jon Barnett, Tia Brullo, Sarah Boulter, Navam Niles   +3 more
wiley   +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

Space-Time Adaptive Processing by Employing Structure-Aware Two-Level Block Sparsity

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Traditional radar space-time adaptive processing (STAP) cannot efficiently suppress heterogeneous clutter because of a small number of independent and identically distributed training snapshots.
Zhizhuo Jiang, Xueqian Wang, Gang Li, Xiao-Ping Zhang, You He   +4 more
doaj   +1 more source

Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP)

CoRR, 2016
Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP). The disturbance covariance matrix should be inferred from training sample observations in practice. Large number of homogeneous training samples are generally not available because of difficulty of guaranteeing target free ...
openaire   +2 more sources

Multi‐Frame Coherent Integration for Detecting High‐Speed Manoeuvring Target in Bistatic Space‐Based Early Warning Radar

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper presents a long‐time coherent integration framework for bistatic space‐based early warning radar (SBEWR) systems, combining both intra‐frame and inter‐frame integration. To address challenges such as range and Doppler cell migration, phase inconsistencies and strong clutter, the proposed method first applies space‐time adaptive processing ...
Xingjia Yang, Keqing Duan, Wei Shen, Di'ang Zhao   +3 more
wiley   +1 more source