Principles of Space-Time Adaptive Processing
By R. Klemm. 2002
822 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/40682814a56e4cccf04c211dccf5e3301312d38a
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In Aerospace Engineering
In Electrical and Electronic Engineering
- L. Ligthart
- Daniel W. Bliss
- Adriano Meta
- Luzhou Xu
- P. Vaidyanathan
- Braham Himed
- P. Stoica
- Chun-Yang Chen
Citations in the corpus
- Signal Processing for FMCW SAR (2007, methodology): “In addition to DBF SAR, multiple channels can be used to achieve a better clutter suppression for the detection of slow moving targets [21], [22].”
- The rank of the covariance matrix of an evanescent field (2008, neutral): “Comprehensive analysis of STAP appears in [10,11].”
- Parametric Rao Test for Multichannel Adaptive Signal Detection (2007, methodology): “In radar systems, sensor arrays are often used to facilitate the so-called space-time adaptive processing (STAP), which offers enhanced target discrimination capability compared with space- or time-only processing [1, 2].”
- Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study (2007, background): “• In the space-time adaptive processing (STAP) based ground moving target indication (GMTI) applications [34] [35] [36], the covariance matrix of the interference (including the ground clutter) and noise may be estimated from secondary range bins.”
- Overview of generalized monopulse estimation (2006, background): “, this means that a part of the data is transformed into the Doppler domain and the other part remains in the time domain, see [39].”
- MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions (2008, methodology): “However, the clutter subspace is often estimated by using data samples instead of using these parameters [26]–[33].”