Results 101 to 110 of about 363 (153)

An SDR-Based Real-Time Testbed for GNSS Adaptive Array Anti-Jamming Algorithms Accelerated by GPU. [PDF]

Sensors (Basel), 2016
Xu H, Cui X, Lu M.
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Local Linear Wavelet Neural Network-Based Unscented Kalman Filter for Vehicle Collision Estimate Warning System and Ensuring Stable Vehicle-to-Infrastructure Communication. [PDF]

Appl Bionics Biomech
Lema YK, Mishra S, Gelmecha DJ.
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An Efficient Adaptive Angle-Doppler Compensation Approach for Non-Sidelooking Airborne Radar STAP. [PDF]

Sensors (Basel), 2015
Shen M, Yu J, Wu D, Zhu D.
europepmc   +1 more source

Diffusion models for robotic manipulation: a survey. [PDF]

Front Robot AI
Wolf R, Shi Y, Liu S, Rayyes R.
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Advanced computational approaches to understand protein aggregation. [PDF]

Biophys Rev (Melville)
Ghosh D, Biswas A, Radhakrishna M.
europepmc   +1 more source

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Analytical expressions for space-time adaptive processing (STAP) performance

IEEE Transactions on Aerospace and Electronic Systems, 2015
Space-time adaptive processing (STAP) is a family of algorithms frequently employed in surface moving target indication radar systems to enable detection of moving objects in the presence of fixed (i.e., nonmoving) clutter. In this paper, two new closed-form expressions that quantify the loss associated with the STAP notch centered on clutter are ...
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Framework and Taxonomy for Radar Space-Time Adaptive Processing (STAP) Methods

IEEE Transactions on Aerospace and Electronic Systems, 2007
The goal of radar space-time adaptive processing (STAP) is to detect slow moving targets from a moving platform, typically airborne or spaceborne. STAP generally requires the estimation and the inversion of an interference-plus-noise (I+N) covariance matrix.
Sebastien Greve, Philippe Ries, Fabian Lapierre, Jacques Verly   +3 more
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A deterministic least-squares approach to space-time adaptive processing (STAP)

IEEE Transactions on Antennas and Propagation, 2001
A direct data domain (D/sup 3/) least-squares space-time adaptive processing (STAP) approach is presented for adaptively enhancing signals in a nonhomogeneous environment. The nonhomogeneous environment may consist of nonstationary clutter and could include blinking jammers.
Sarkar, Tapan Kumar, Wang, Hong, Park, Sheeyun, Adve, Raviraj, Koh, Jinwan, Kim, Kyungjung, Zhang, Yuhong, Wicks, Michael C., Brown, Russell D.   +8 more
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