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Knowledge-Aided Space-Time Adaptive Processing
IEEE Transactions on Aerospace and Electronic Systems, 2011A fundamental issue in knowledge-aided space-time adaptive processing (KA-STAP) is to determine the degree of accuracy of the a~priori knowledge and the optimal emphasis that should be placed on it. In KA-STAP, the a priori knowledge consists usually of an initial guess of the clutter covariance matrix.
Xumin Zhu, Jian Li, Petre Stoica
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A Cognitive Architecture for Space Time Adaptive Processing
2020 IEEE International Radar Conference (RADAR), 2020A cognitive radar can be conceived as a system that is able to autonomously and continuously change the parameters of both the transmitter and the receiver to optimise its performances in changing complex and changing environment with the available resources.
Gelli S., Martorella M.
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Beam-augmented space-time adaptive processing
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999Combined monostatic clutter (MSC) and terrain scattered interference (TSI) pose a difficult challenge for adaptive radar processing. Mitigation techniques exist for each interference alone but are insufficient for their combined effects. Current approaches separate the problem into two stages where TSI is suppressed first and then MSC. The problem with
Y. Seliktar, D.B. Williams, E.J. Holder
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Knowledge-Based Space-Time Adaptive Processing
2007 International Conference on Machine Learning and Cybernetics, 2007This paper presents a novel concept for knowledge-based control of space-time adaptive processing. Firstly use a-prior knowledge to pre-adaptive, and then use non-homogeneity detector (NHD) to distinguish homogeneous range cells and non-homogenous ones.
Lin-Ru You, Xiao-Qin Wen, Shu-E Bi
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Knowledge-Aided Space-Time Adaptive Processing
2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, 2007A fundamental issue in knowledge-aided space-time adaptive processing (KA-STAP) is to determine the degree of accuracy of the a priori knowledge and the optimal emphasis that should be placed on it. In KA-STAP, the a priori knowledge consists usually of an initial guess of the clutter covariance matrix.
Xumin Zhu +3 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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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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Adaptive pulse design for space-time adaptive processing
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012Space-time adaptive processing (STAP) is used in radar to adaptively suppress both ground clutter returns and radio frequency interference (RFI). However, RFI suppression utilizes degrees-of-freedom that would otherwise be applied to clutter suppression.
Lee K. Patton +2 more
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Compressed Space-Time Adaptive Processing (CSTAP)
TENCON 2005 - 2005 IEEE Region 10 Conference, 2005A wavelet transform technique is used to reduce (compress) the dimensionality of the covariance matrix as well as signal snapshots in space-time adaptive processing (STAP) to cut the computational demand. The algorithm is tested using both simulated airborne radar data generated by the high-fidelity airborne radar simulation software, RLSTAP, as well ...
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Statistical space-time adaptive processing algorithm
Journal of Electronics (China), 2010For the slowly changed environment-range-dependent non-homogeneity, a new statistical space-time adaptive processing algorithm is proposed, which uses the statistical methods, such as Bayes or likelihood criterion to estimate the approximative covariance matrix in the non-homogeneous condition.
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