Knowledge-Aided Space-Time Adaptive Processing

A 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. This can be obtained either by previous radar probings or by a map-based study. In this paper, we consider a linear combination of the a priori clutter covariance matrix with the sample covariance matrix obtained from secondary data, and derive an optimal weighting factor on the a priori knowledge by a two-step maximum likelihood (ML) approach. The performance of the two-step ML approach is compared with that of the convex combination (CC) approach and is evaluated using the KASSPER data.

[1]  J. Guerci,et al.  Improved clutter mitigation performance using knowledge-aided space-time adaptive processing , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[2]  M.C. Wicks,et al.  Space-time adaptive processing: a knowledge-based perspective for airborne radar , 2006, IEEE Signal Processing Magazine.

[3]  Allan Steinhardt,et al.  Improved adaptive clutter cancellation through data-adaptive training , 1999 .

[4]  I. Reed,et al.  Rapid Convergence Rate in Adaptive Arrays , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Hong Wang,et al.  On adaptive spatial-temporal processing for airborne surveillance radar systems , 1994 .

[6]  A. Farina,et al.  Design and analysis of a knowledge-aided radar detector for doppler processing , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Joseph R. Guerci,et al.  On Periodic Autoregressive Processes Estimation , 2000 .

[8]  Jian Li,et al.  On Using a priori Knowledge in Space-Time Adaptive Processing , 2008, IEEE Transactions on Signal Processing.

[9]  William L. Melvin,et al.  Improving practical space-time adaptive radar , 1997, Proceedings of the 1997 IEEE National Radar Conference.

[10]  R. Klemm.  Principles of Space-Time Adaptive Processing , 2002 .

[11]  Douglas Page,et al.  Knowledge-Aided STAP Processing for Ground Moving Target Indication Radar Using Multilook Data , 2006, EURASIP J. Adv. Signal Process..

[12]  L.E. Brennan,et al.  Theory of Adaptive Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[13]  K. Gerlach,et al.  Stap using knowledge-aided covariance estimation and the fracta algorithm , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[14]  M. Wicks,et al.  Implementing digital terrain data in knowledge-aided space-time adaptive processing , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[15]  K. Gerlach,et al.  Efficient robust AMF using the FRACTA algorithm , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Raviraj S. Adve,et al.  Knowledge based adaptive processing for ground moving target indication , 2007, Digit. Signal Process..

[17]  P. Gurram,et al.  Spectral-domain covariance estimation with a priori knowledge , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[18]  Muralidhar Rangaswamy,et al.  Statistical analysis of the nonhomogeneity detector for non-Gaussian interference backgrounds , 2005, IEEE Transactions on Signal Processing.

[19]  W.L. Melvin,et al.  An approach to knowledge-aided covariance estimation , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[20]  Joseph R. Guerci,et al.  Principal components, covariance matrix tapers, and the subspace leakage problem , 2002 .

[21]  James Ward,et al.  Space-time adaptive processing for airborne radar , 1998 .

[22]  Daniel R. Fuhrmann,et al.  A CFAR adaptive matched filter detector , 1992 .

[23]  Joseph R. Guerci,et al.  Space-Time Adaptive Processing for Radar , 2003 .

[24]  Joseph R. Guerci,et al.  Optimal and adaptive reduced-rank STAP , 2000, IEEE Trans. Aerosp. Electron. Syst..

[25]  J.R. Guerci,et al.  STAP with knowledge-aided data pre-whitening , 2004, Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509).

[26]  J.R. Guerci,et al.  Knowledge-aided adaptive radar at DARPA: an overview , 2006, IEEE Signal Processing Magazine.