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Iterative Space-Time Adaptive Processing
2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009To reduce the need of secondary data and/or accurate prior knowledge of the clutter statistics in space-time adaptive processing (STAP), we present herein a user parameter-free and secondary data-free fully automatic weighted least squares based iterative adaptive approach (IAA) to angle-Doppler imaging for airborne surveillance radar systems.
J. Li, X. Zhu, P. Stoica, M. Rangaswamy
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Multichannel space-time adaptive processing
Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, 2002A new recursive processing technique for space-time adaptive processing (STAP) is developed and applied to the airborne MTI radar problem. Unlike the conventional approach, the expanding block structure of the covariance matrix is exploited for updating the covariance matrix inverse as each pulse is received.
S.U. Pillai, W.C. Lee, J. Guerci
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Adaptive channel equalization for space-time adaptive processing
Proceedings International Radar Conference, 2002The space-time adaptive processing (STAP) can improve the performance of airborne early warning (AEW) radar. But, the receiver channel mismatch will give rise to much degradation of the performance for STAP. This paper introduces an efficient adaptive channel equalization method which can compensate the channel mismatch automatically by least squares ...
null Shunjun Wu, null Yingjun Li
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Space-time adaptive processing for airborne radar
IEE Colloquium on Space-Time Adaptive Processing, 1998Advanced airborne radar systems are required to detect targets in the presence of both clutter and jamming. Ground clutter is extended in both angle and range, and is spread in Doppler frequency because of the platform motion. Space-time adaptive processing (STAP) refers to the simultaneous processing of the signals from an array antenna during a ...
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Space-time adaptive processing
2001For a radar onboard flying platforms (aircraft, drone, satellite) the direction-dependant relative velocities to the ground scatterers cause corresponding Doppler frequency shifts of the clutter echoes. Against this broadened clutter spectrum one can apply no common filter, because one would suppress too broad a Doppler frequency range of possible ...
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Knowledge-Aided Bayesian Space-Time Adaptive Processing
IEEE Transactions on Aerospace and Electronic Systems, 2018Ground moving target indicator (GMTI) radar processing attempts to distinguish between radar returns emanating from moving targets and stationary ground clutter. The task is confounded by the relative motion between the radar platform and the scene, as well as by the strength of clutter returns. Techniques such as space-time adaptive processing require
Michael Riedl, Lee C. Potter
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Space-time-range three dimensional adaptive processing
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009Space-time adaptive processing (STAP) is an effective tool for moving target detection. Conventional STAP methodologies process the angular and Doppler two dimensional data vector. In practical applications, adjacent range cells are statistically dependent due to filtering, since the point spreading function of a target is not an ideal delta function ...
Shengqi Zhu 0001 +3 more
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Polarimetric Clutter Nulling Space-Time Adaptive Processing
Proceedings of the 2020 4th International Conference on Digital Signal Processing, 2020A polarimetric clutter nulling based space-time adaptive processing approach is presented to weak target detection under short data samples. In the new processor, the signal under test vector is estimated via a modified least square scheme while the clutter subspace is iteratively recovered with a basis selected computationally efficient polarization ...
Kang Zhao +5 more
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Introduction to space-time adaptive processing
Electronics & Communication Engineering Journal, 1998Space-time adaptive processing (STAP) is an innovative tool for use with coherent phased array radar systems which is useful whenever the received signals (target and interference) are functions of both space and time. A prominent example is the clutter suppression in air and spaceborne MTI radar.
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Space-time adaptive processing on the Mesh Synchronous Processor
Proceedings of International Conference on Parallel Processing, 2002This paper presents an assessment of the applicability of the Mesh Synchronous Processor (MeshSP) architecture to a class of radar signal processing algorithms known as space-time adaptive processing (STAP). The MeshSP is a SIMD processor developed at MIT Lincoln Laboratory and marketed by Integrated Computing Engines, Inc. A high-level overview of the
Janice S. McMahon, Ken Teitelbaum
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