Results 41 to 50 of about 22,571 (199)

Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance

European Journal of Sport Science, Volume 25, Issue 3, March 2025.
Abstract This study aimed to determine the effects of different bout durations (1 × 12 min, 2 × 6 min and 3 × 4 min) of three‐a‐side (3vs3) and four‐a‐side (4vs4) small sided games (SSGs) with goalkeepers, on the profile of mood state (POMS) scores, and technical performance (percentage of successful passes, percentage of successful tackles, percentage
Zouhaier Farhani, Hatem Ghouili, Wissem Dhahbi, Achraf Ammar, Mohamed Ben Aissa, Mohamed Mansour Bouzouraa, Khaled Trabelsi, Noomen Guelmami, Nizar Souissi, Ismail Dergaa, Anissa Bouassida, Lamia Ben Ezzeddine   +11 more
wiley   +1 more source

A Training Sample Selection Method With Fusing GIP Statistic and Geographic Information for Airborne Radar

Electronics Letters, Volume 61, Issue 1, January/December 2025.
The method expands sample‐screening dimensions through multidimensional information‐weighted fusion, enabling the selection of more suitable sample sets. Compared with the GIP and knowledge‐aided clutter suppression methods, our proposed method exhibits excellent robustness in different clutter environments and achieves improved clutter‐suppression ...
Chenran Gao, Wenchong Xie, Yuanyi Xiong, Wei Chen, Buqiu Tian   +4 more
wiley   +1 more source

An Adaptive Five‐Element Array Antenna Based on Miniaturised Polarisation‐Insensitive Absorptive Metamaterial for Anti‐Jamming Applications

IET Microwaves, Antennas &Propagation, Volume 19, Issue 1, January/December 2025.
This paper investigates mutual coupling reduction in a five‐element antenna array with constrained aperture dimensions, focusing on polarisation‐insensitive absorptive wall‐type metamaterials for enhanced anti‐jamming performance. The absorptive‐metamaterials‐enhanced adaptive array offers significant advantages for miniaturised platforms and is well ...
Guanjun Wang, Xusheng Tang, Fengyi Huang, Chaochao Ren, Huan Liu   +4 more
wiley   +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

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

Clutter rank estimation for the multistage Wiener filter

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
The authors propose an algorithm that determines the rank of the sea clutter and relates it to the number of stages in the multistage Wiener filter. The algorithm presented is formulated as a model order estimation problem that utilises the minimum description length (MDL).
Rachel Gray, Elias Aboutanios, Luke Rosenberg, Josef Zuk   +3 more
wiley   +1 more source

A STAP anti-interference technology with zero phase bias in wireless IoT systems based on high-precision positioning

Frontiers in Physics, 2023
Fog computing has been applied to the data processing for the Internet of Things (IoT) based on distributed high-precision Global Navigation Satellite Systems (GNSS).
Fang Hao, Fang Hao, Fang Hao, Xin Li, Wei Wang, Jun Zhao, Jun Zhao   +6 more
doaj   +1 more source

Sparse Bayesian learning using hierarchical synthesis prior for STAP

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
In this paper, the authors propose a novel SBL algorithm using hierarchical synthesis prior and apply it to STAP technology to improve clutter suppression performance under limited sample conditions. In addition, in order to reduce the computational complexity, the authors propose a local space–time dictionary construction method.
Junxiang Cao, Tong Wang, Weichen Cui
wiley   +1 more source

Anti-jamming method for STAP based on a bi-phase random-coded signal

The Journal of Engineering, 2019
The scattered-wave sweeping frequency jamming occupies many space-time adaptive processing (STAP) degrees of freedom, which results in a serious decline in STAP performance. To solve this problem, an anti-jamming method of STAP based on a bi-phase random-
Weijie Ye, Xiaopeng Yang, Yuze Sun, Shuai Li   +3 more
doaj   +1 more source

Study on the Influence of Space–Time Adaptive Processor on Single Point Position and Real‐Time Kinematic for GNSS Antenna Array Anti‐jamming Receiver

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
This paper studies the influences of STAP algorithms on SPP and RTK systematically. Simulation and experiment results show that the STAP algorithms will deteriorate the performances of SPP and RTK. Results of this paper will provide reference for evaluating the performance of the GNSS antenna array anti‐jamming receiver.
Yaoding Wang, Xiaozhou Ye, Si Chen, Zhenxin Liu   +3 more
wiley   +1 more source