Moving target detection using super-resolution algorithms with an ultra wideband radar

We present subspace based detection algorithms for detecting moving targets applied to the data collected by an ultra wideband radar system. Combining the results of time reversal MUSIC algorithm and delay estimation MUSIC methods resulted in successful localization of targets. We have investigated methods to resolve the ambiguities in target detection and we performed experiments using two targets to test the effectiveness of the algorithms. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 237–244, 2010

[1]  D. W. van der Weide,et al.  Microwave imaging via space-time beamforming: experimental investigation of tumor detection in multilayer breast phantoms , 2004, IEEE Transactions on Microwave Theory and Techniques.

[2]  A.J. Devaney.  Time reversal imaging of obscured targets from multistatic data , 2005, IEEE Transactions on Antennas and Propagation.

[3]  Lam H. Nguyen,et al.  Detection of land-mines using ultra-wideband radar data and time–frequency signal analysis , 2004 .

[4]  Thomas Kailath,et al.  On spatial smoothing for direction-of-arrival estimation of coherent signals , 1985, IEEE Trans. Acoust. Speech Signal Process..

[5]  Ibrahim Tekin,et al.  High resolution ultrawideband wall penetrating radar , 2007 .

[6]  I. D. Longstaff,et al.  Radar imaging of shallow buried objects , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[7]  A. Lee Swindlehurst,et al.  A Performance Analysis of Subspace-Based Methods in the Presence of Model Errors: Part &-Multidimensional Algorithms , 1993 .

[8]  Hyo-Tae Kim,et al.  Efficient radar target recognition using the MUSIC algorithm and invariant features , 2002 .

[9]  Barry D. Van Veen,et al.  Ultrawideband microwave breast cancer detection: a detection-theoretic approach using the generalized likelihood ratio test , 2005, IEEE Transactions on Biomedical Engineering.

[10]  Sean K Lehman,et al.  Transmission mode time-reversal super-resolution imaging. , 2003, The Journal of the Acoustical Society of America.

[11]  H. Lev-Ari,et al.  The time-reversal technique re-interpreted: subspace-based signal processing for multi-static target location , 2000, Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410).

[12]  Fred K. Gruber,et al.  Subspace-Based Localization and Inverse Scattering of Multiply Scattering Point Targets , 2007, EURASIP J. Adv. Signal Process..

[13]  Mark A. Barnes,et al.  Preliminary interferometric images of moving targets obtained using a time-modulated ultra-wide band through-wall penetration radar , 2001, Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200).

[14]  Mathias Fink,et al.  Decomposition of the time reversal operator: Detection and selective focusing on two scatterers , 1996 .

[15]  Claire Prada,et al.  Experimental subwavelength localization of scatterers by decomposition of the time reversal operator interpreted as a covariance matrix. , 2003, The Journal of the Acoustical Society of America.

[16]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[17]  Surendra Prasad,et al.  An improved spatial smoothing technique for bearing estimation in a multipath environment , 1988, IEEE Trans. Acoust. Speech Signal Process..