Results 101 to 110 of about 20,992,045 (204)

A multi-norm constraints sparse recovery STAP with coprime sampling structure under array sensor failures

open access: yesEgyptian Informatics Journal
The coprime sampling structures offer significant advantages in achieving large apertures and high degree of freedom (DOF), but sensor failures can severely impact their space time adaptive processing (STAP) performance.
Mingxin Liu, Jialin Zhang, Mingfu Li
doaj   +1 more source

Subband Array Implementations for Space-Time Adaptive Processing

open access: yes, 2005
Intersymbol interference (ISI) and cochannel interference (CCI) are two primary sources of signal impairment in mobile communications. In order to suppress both ISI and CCI, space-time adaptive processing (STAP) has been shown to be effective in ...
Amin Moeness G, Yang Kehu, Zhang Yimin
core   +1 more source

The relative merits of pre-/post-Doppler STAP

open access: yes, 2022
When considering possible implementations of space-time adaptive processing (STAP) techniques, it is apparent that there are two principal approaches; STAP before Doppler filtering (pre-Doppler STAP) and STAP after Doppler filtering (post-Doppler STAP ...
Savy, L.   +3 more
core  

Fast Iterative Subspace Algorithms for Airborne STAP Radar

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
Space-time adaptive processing (STAP) is a crucial technique for the new generation airborne radar for Doppler spread compensation caused by the platform motion. We here propose to apply range cell snapshots-based recursive algorithms in order to reduce
Belkacemi Hocine, Marcos Sylvie
doaj   +1 more source

Collaborative Nonlinear Space-time Adaptive Processing and Pulse Compression Based on Neural Networks

open access: yesLeida xuebao
Traditional airborne radar Pulse Compression (PC) and Space-Time Adaptive Processing (STAP) suffer performance degradation in complex target and clutter environments due to their reliance on predefined linear models. To address this issue, we developed a
Zhipeng LIAO, Keqing DUAN, Fei GAO
doaj   +1 more source

Joint Correlations Sparse Bayesian Learning STAP With Prior Knowledge of Clutter Ridge

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Space-time adaptive processing (STAP) based on sparse Bayesian learning (SBL) can significantly improve clutter suppression performance utilizing clutter sparsity.
Junhao Cui, Zhangxin Chen, Jing Liang
doaj   +1 more source

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