Space-Time Adaptive Processing for Radar

By Joseph R. Guerci. 2003

694 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e6b68212f87622b68752dc96ffc291c5e37e1eef

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1. Jian Li
2. P. Stoica
3. Chun-Yang Chen
4. Luzhou Xu
5. A. Haimovich
6. Rick S. Blum
7. Fan Liu
8. P. Vaidyanathan

Citations in the corpus

• MIMO Radar with Colocated Antennas (2007, background): “For example, in space-time adaptive processing applications, secondary range bins are needed to be able to use adaptive techniques [26]–[28]; however, selecting quality secondary range bins is in itself a major challenge [29].”
• 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].”
• MIMO Radar with Widely Separated Antennas (2008, background): “In airborne and other applications, the detection of moving targets and their discrimination against the background clutter are of great interest; this led to the development of array radars with space-time adaptive processing (STAP) [6], [7] (as well as recent books [8], [9]).”
• Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems (2021, methodology): “The readers may refer to [39]-[41] for more details about the STAP technique.”
• Implementing digital terrain data in knowledge-aided space-time adaptive processing (2006, background): “Other factors including internal clutter motion (ICM), channel mismatch and range walk are discussed in [24].”
• Sparsity and Compressed Sensing in Radar Imaging (2010, unknown): “The stationary background, i.e., clutter, can be removed either by subtracting background reference data or through adaptive nulling techniques in the spirit of space-time adaptive processing (STAP) [9], [94], [95].”
• 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.”