Results 231 to 240 of about 126,307 (254)
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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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Adaptive space-time process in radar applications
Aerospace Science and Technology, 1997Resume Un radar est un capteur spatio-temporel dont les performances dependent beaucoup des traitements appliques aux signaux qu'il delivre. Le but de cet article est, apres avoir rappele le principe de ces traitements, de livrer une reflexion sur les differentes possibilites offertes par le filtrage adaptatif en matiere de rejection des signaux qui ...
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A unified framework for space-time adaptive processing
Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing (Cat. No.98TH8381), 2002This work provides a common framework for three recently proposed space-time adaptive processing (STAP) methods. A common goal of these methods is to reduce computational complexity and sample support requirements. It is shown that the canonical correlations model provides a mechanism for treating the STAP methods in a unified framework.
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An overview of space-time adaptive processing for radar
2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695), 2004The paper provides a survey of space-time adaptive processing for radar target detection. Specifically, early work on adaptive array processing from the point of view of maximum signal-to-noise-ratio and minimum mean squared error perspectives are briefly reviewed for motivation. The sample matrix inversion method of I.S. Reed et al.
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Robust techniques in space-time adaptive processing
2004This chapter is a brief review of several traditional STAP schemes as well as an explanation of the complex detection environments in which many radar signal processors must operate. A review of the deterioration of the performance of algorithms, as well as the benefits and drawbacks of newly proposed adaptive processing approaches, has been provided ...
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Airborne radar space time adaptive processing based on atomic norm minimization
Signal Processing, 2018Weike Feng, Yiduo Guo, Yongshun Zhang
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On Clutter Sparsity Analysis in Space–Time Adaptive Processing Airborne Radar
IEEE Geoscience and Remote Sensing Letters, 2013Zhaocheng Yang +2 more
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Clutter Rank Estimation for Reduce-Dimension Space-Time Adaptive Processing MIMO Radar
IEEE Sensors Journal, 2017Weike Feng, Yongshun Zhang, Xingyu He
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