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New Directions for Evaluation, Volume 2025, Issue 187, Page 59-66, Fall 2025.ABSTRACT In this article, we contextualize research on evaluator education and training (RoEET) within its historical context by grounding it in a RoE framework posed by Mark and a landscape analysis by King and Ayoo. We then link RoEET with contemporary views on philosophical, applied, and empirical dimensions of the scholarship of teaching and ...
Leah C. Neubauer +3 more
wiley +1 more source
Element‐localized Doppler STAP (Space Time Adaptive Processing) for clutter suppression in automotive forward‐looking RADAR [PDF]
Electronics and Communications in Japan (Part I: Communications), 2006 AbstractIn forward‐looking radars such as automotive radars, it is necessary to suppress the reflected undesirable signal (clutter) from such objects as the ground surface (especially hills), guard rails, and buildings, in order to detect moving targets ahead.
openaire +1 more source
Fast-Time and Slow-Time Space-Time Adaptive Processing for Bistatic Radar Interference Suppression
, 2015 In bistatic radar with transmitter and receiver geographically separated the interference from ground clutter and the direct path signal transmitter-receiver will be strong and must be suppressed in order to detect the target. We apply FT-STAP (Fast-Time
Nelander, Anders, +2 more
core
, 2007 This paper introduces three partially adaptive space-time processing (STAP) schemes for analyzing fMRI data. Element space partially adaptive STAP can achieve performance close to that of fully adaptive STAP while greatly decreasing the CPU running time ...
Elizabeth A. Thompson +9 more
core +1 more source
, 2018 A new form of multi-waveform space-time adaptive processing (MuW-STAP) is presented. The formulation provides additional training data for adaptive clutter cancellation for ground moving target indication after pulse compression.
Harnett, Lumumba
core
On using a priori knowledge in space-time adaptive processing
, 2008 In space-time adaptive processing (STAP), the clutter covariance matrix is routinely estimated from secondary "target-free" data. Because this type of data is, more often than not, rather scarce, the so-obtained estimates of the clutter covariance matrix
Guerci, J +3 more
core +1 more source
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 +1 more source
, 2007 Publication in the conference proceedings of EUSIPCO, Poznan, Poland ...
Sophie Beau, Sylvie Marcos
openaire +3 more sources
Exploiting persymmetry for JDL-STAP
The Journal of Engineering, 2019 Joint domain localisation (JDL) is a popular reduced-dimension space-time adaptive processing (STAP) technique for clutter suppression in an air-borne radar system.
Sha Wang +5 more
doaj +1 more source
Fast Variational Bayesian Inference for Space-Time Adaptive Processing
, 2023 Space-time adaptive processing (STAP) approaches based on sparse Bayesian learning (SBL) have attracted much attention for the benefit of reducing the training samples requirement and accurately recovering sparse signals. However, it has the problem of a
Xinying Zhang, Degen Wang, Tong Wang
core +1 more source