Results 11 to 20 of about 714 (131)

Knowledge‐aided block sparse Bayesian learning STAP for phased‐array MIMO airborne radar

IET Radar, Sonar & Navigation, 2021
The phased‐array multiple‐input multiple‐output (PA‐MIMO) airborne radar faces more severe sample shortage problem than the conventional PA radar. Hence, it suffers from severe performance degradation when it adopts the traditional space‐time adaptive ...
Ning Cui, Kun Xing, Keqing Duan, Zhongjun Yu   +3 more
doaj   +1 more source

Training sample selection for space–time adaptive processing based on multi-frames

The Journal of Engineering, 2019
As training samples are not identically distributed with cell under test (CUT) in heterogeneous environments, the performance of space–time adaptive processing (STAP) to suppress clutter degrades. To improve the performance of STAP, this study proposes a
Chenxiao Zhang, Yifeng Wu, Mingming Guo, Xiaobo Deng   +3 more
doaj   +1 more source

Expression of signal-transducing adaptor protein-1 attenuates experimental autoimmune hepatitis via down-regulating activation and homeostasis of invariant natural killer T cells.

PLoS ONE, 2020
ObjectiveSignal-transducing adaptor protein (STAP) family members function as adaptor molecules and are involved in several events during immune responses. Notably however, the biological functions of STAP-1 in other cells are not known.
Jun-Ichi Kashiwakura, Kodai Saitoh, Takeru Ihara, Yuto Sasaki, Kota Kagohashi, Shiyo Enohara, Yuka Morioka, Hiroshi Watarai, Ryuta Muromoto, Yuichi Kitai, Kazuya Iwabuchi, Kenji Oritani, Tadashi Matsuda   +12 more
doaj   +1 more source

Polarisation-space-time adaptive processing for heterogeneous clutter suppression of airborne-phased array radar

The Journal of Engineering, 2019
Conventional space-time adaptive processing (STAP) achieves clutter suppression by combining spatial signals and the temporal pulses. However, extreme slow-moving target cannot be effectively detected by space-time joint filtering in ambiguous and non ...
Yuze Sun, Jian Yang, Xiaopeng Yang
doaj   +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

Signal-transducing adaptor protein-2 delays recovery of B lineage lymphocytes during hematopoietic stress

Haematologica, 2020
Signal-transducing adaptor protein-2 (STAP-2) was discovered as a C-FMS/M-CSFR interacting protein and subsequently found to function as an adaptor of signaling or transcription factors.
Michiko Ichii, Kenji Oritani, Jun Toda, Hideaki Saito, Henyun Shi, Hirohiko Shibayama, Daisuke Motooka, Yuichi Kitai, Ryuta Muromoto, Jun-ichi Kashiwakura, Kodai Saitoh, Daisuke Okuzaki, Tadashi Matsuda, Yuzuru Kanakura   +13 more
doaj   +1 more source

Phase-Only Space-Time Adaptive Processing

IEEE Access, 2021
Space-time adaptive processing (STAP) is a well-known and effective method to detect targets, obscured by interference, from airborne radars that works by coherently combining signals from a phased antenna array (spatial domain) with multiple radar ...
Luca Pallotta, Alfonso Farina, Steven Thomas Smith, Gaetano Giunta   +3 more
doaj   +1 more source

On the Efficient Implementation of Sparse Bayesian Learning-Based STAP Algorithms

Remote Sensing, 2022
Sparse Bayesian learning-based space–time adaptive processing (SBL-STAP) algorithms can achieve superior clutter suppression performance with limited training sample support in practical heterogeneous and non-stationary clutter environments.
Kun Liu, Tong Wang, Jianxin Wu, Cheng Liu, Weichen Cui   +4 more
doaj   +1 more source

Unified Theoretical Frame of a Joint Transmitter-Receiver Reduced Dimensional STAP Method for an Airborne MIMO Radar

Leida xuebao, 2016
The unified theoretical frame of a joint transmitter-receiver reduced dimensional Space-Time Adaptive Processing (STAP) method is studied for an airborne Multiple-Input Multiple-Output (MIMO) radar.
Guo Yiduo, Gong Jian, Huang Darong, Jin Hubing   +3 more
doaj   +1 more source

Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder

Remote Sensing, 2022
Due to the shortage of independent and identically distributed (i.i.d.) training samples, space−time adaptive processing (STAP) often suffers remarkable performance degradation in the heterogeneous clutter environment.
Chenxi Zhang, Huiliang Zhao, Wenchao Chen, Bo Chen, Penghui Wang, Changrui Jia, Hongwei Liu   +6 more
doaj   +1 more source