Results 51 to 60 of about 939 (214)
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 +4 more
doaj +1 more source
Space-Time Adaptive Processing for GPS Anti-Jamming Receiver
, 2012 A space-time adaptive processing (STAP) algorithm which can reject interference in spatial domain as well as temporal domain has been widely used in GPS anti-jamming system.
Lian, Baowang, Zhao, Hongwei, Feng, Juan
core +1 more source
A Joint Sparse Space-Time Adaptive Processing Method
IEEE AccessAt 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 +4 more
doaj +1 more source
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 +3 more
wiley +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
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 +6 more
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.In this paper, we first establish the dual‐band airborne radar wideband echo signal model and propose a space‐time‐frequency adaptive processing method based on it. Firstly, in the passive mode, the poles of the dual band are estimated by the matrix pencil method, and the incoherent components are estimated through the phase relationship between the ...
Ming Hou +6 more
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 +3 more
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper analyzes the clutter rank under range ambiguity in EPC‐MIMO radar. ABSTRACT Space‐time adaptive processing (STAP) with element‐pulse coding (EPC)‐multiple‐input multiple‐output (MIMO) radars is capable of suppressing range ambiguous clutter in airborne radar fields. However, clutter rank has not been investigated in EPC‐MIMO radars, which is
Di Song +5 more
wiley +1 more source
Direct Data Domain Sparsity-Based STAP Utilizing Subaperture Smoothing Techniques
International Journal of Antennas and Propagation, 2015 We propose a novel direct data domain (D3) sparsity-based space-time adaptive processing (STAP) algorithm utilizing subaperture smoothing techniques for airborne radar applications.
Zhaocheng Yang +4 more
doaj +1 more source