An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing [PDF]
Sensors, 2020 The article presents a new space-time adaptive processing (STAP) method for target detection in a heterogeneous and non-stationary environment. In study it was proven that it is possible to estimate the clutter covariance matrix (CCM) in STAP by using ...
Anna Ślesicka, Adam Kawalec
doaj +5 more sources
Phase-Only Space-Time Adaptive Processing [PDF]
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 +3 more
doaj +4 more sources
Improved Variational Bayes for Space-Time Adaptive Processing [PDF]
EntropyTo tackle the challenge of enhancing moving target detection performance in environments characterized by small sample sizes and non-uniformity, methods rooted in sparse signal reconstruction have been incorporated into Space-Time Adaptive Processing ...
Kun Li +5 more
doaj +4 more sources
MIMO radar space–time adaptive processing using prolate spheroidal wave functions [PDF]
IEEE Transactions on Signal Processing, 2008 In the traditional transmitting beamforming radar system, the transmitting antennas send coherent waveforms which form a highly focused beam. In the multiple-input multiple-output (MIMO) radar system, the transmitter sends noncoherent (possibly ...
Chun-yang Chen +2 more
core +5 more sources
Slow-Time Code Design for Space-Time Adaptive Processing in Airborne Radar [PDF]
Entropy, 2021 Space-time adaptive processing (STAP) techniques have been motivated as a key enabling technology for advanced airborne radar applications. In this paper, a slow-time code design is considered for the STAP technique in airborne radar, and the principle ...
Shiyi Li +4 more
doaj +2 more sources
ADMM-Based Low-Complexity Off-Grid Space-Time Adaptive Processing Methods
IEEE Access, 2020 In this paper, we consider the problems of off-grid effects elimination and fast implementations for sparse recovery based space-time adaptive processing (SR-STAP) methods.
Zhongyue Li, Tong Wang
doaj +2 more sources
Jointly Iterative Adaptive Approach Based Space Time Adaptive Processing Using MIMO Radar
IEEE Access, 2018 To solve the problem of large training samples requirement of space time adaptive processing (STAP), a jointly sparse matrices recovery-based method is proposed for clutter plus noise covariance matrix estimation by exploiting the transmitting waveform ...
Weike Feng +4 more
doaj +2 more sources
Space-Time Adaptive Processing for Airborne Radars With Space-Time Coprime Sampling Structure
IEEE Access, 2018 Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost.
Xiaoye Wang +4 more
doaj +2 more sources
Exploiting persymmetry for low-rank Space Time Adaptive Processing [PDF]
Signal Processing, 2014 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Ginolhac, Guillaume +3 more
openaire +9 more sources
Subband Array Implementations for Space-Time Adaptive Processing [PDF]
EURASIP Journal on Advances in Signal Processing, 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 ...
Yang Kehu, Zhang Yimin, Amin Moeness G
doaj +2 more sources