Cognitive SATP for Airborne Radar Based on Slow-Time Coding

Space-time adaptive processing (STAP) techniques have been motivated as a key enabling technology for advanced airborne radar applications. In this paper, the notion of cognitive radar is extended to STAP technique, and cognitive STAP is discussed. The principle for improving signal-to-clutter ratio (SCNR) based on slow-time coding is given, and the corresponding optimization algorithm based on cyclic and power-like algorithms is presented. Numerical examples show the effectiveness of the proposed method.




References:
[1] J. Ward: Space-Time Adaptive Processing for Airborne Radar, MIT
Lincoln lab., Lexington, MA, Tech. Rep. 1015, Dec. 1994.
[2] R. Klemm: Principle of Space-Time Adaptive Processing, Bodmin, U.K.:
IEE, 2002.
[3] Grieve P. G., Guerci J. R: ’Optimum matched illumination-reception
radar’, U.S. Patent S517552, 1992.
[4] Pillai S. U., Oh H. S., Youla D. C., Guerci J. R.: ’Optimumu
transmit-receiver design in the presence of signal-dependent interference
and channel noise’, IEEE Trans. Inf. Theory, 2000, 46, (2), pp. 577-584.
[5] Garren D. A., Osborn M. K., Odom A. C., Goldstein J. S., et
al.: ’Enhanced target detection and identification via optimized radar
transmission pulse shape’, IEE Proc.-Radar, Sonar Navig., 2001, 148,
(3), pp. 130-138.
[6] Zhang J. D., Zhu X. H., Wang H. Q.: ’Adaptive radar phase-coded
waveform design’, Electronics Letters, 2009, 45, (20), pp. 1052-1053.
[7] M. M. Naghsh, M. Soltanalian, P. Stoica, M. Modarres-hashemei. Radar
Code Design for Detection of Moving Targets. IEEE Transactions on
Aerospace and Electronic Systems, 50 (Oct. 2014), 2762-2778.
[8] Setlur, P., Rangaswamy, M. Signal dependent clutter waveform design for
radar STAP, 2014 IEEE Radar Conference: 1311-1316.
[9] Setlur, P., Rangaswamy,Projected Gradient Waveform Design for Fully
Adaptive Radar STAP, 2015 IEEE Radar Conference: 1704-1709.