Review of reduced rank space-time adaptive processing for airborne radar

This paper overviews reduced rank space-time adaptive processing (STAP) for clutter suppression in airborne early warning (AEW) radars. A new hybrid low dimensional STAP (HSTAP) approach without high implementation cost is also discussed by assigning reasonably the number of system degrees of freedom (DOFs) between the spatial and temporal domains. The clutter rejection performance of the HSTAP method is superior to conventional cascaded space-time processing (CST), which is verified by computer simulations.

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

[2]  Michael C. Wicks,et al.  A space-time adaptive processing approach for improved performance and affordability , 1996, Proceedings of the 1996 IEEE National Radar Conference.

[3]  R. Klemm.  Adaptive airborne MTI: comparison of sideways and forward looking radar , 1995, Proceedings International Radar Conference.

[4]  S. D. Hayward,et al.  Adaptive space time processing for forward looking radar , 1995, Proceedings International Radar Conference.

[5]  A. Farina,et al.  Adaptive space-time processing with systolic algorithm: experimental results using recorded live data , 1995, Proceedings International Radar Conference.

[6]  Zheng Bao,et al.  Partially adaptive space-time processing for clutter suppression in airborne radars , 1995, Proceedings International Radar Conference.

[7]  Sergio Barbarossa,et al.  Space-time-frequency processing of synthetic aperture radar signals , 1994 .

[8]  Qingwen Zhang,et al.  A view of current status of space-time processing algorithm research , 1995, Proceedings International Radar Conference.

[9]  Bao Zheng,et al.  Evaluation of adaptive space-time processing for inclined sideways looking array airborne radars , 1996, Proceedings of International Radar Conference.

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