A Spatio-Temporal Adaptive Processing for Modeling of Seaborne Clutter
Rajeev Kr. Singh1, Shams Tabrej Alam2, Geetali Chakraborty3, Sudarshan Chakravorty4
1Rajeev Kr. Singh, ECE department, MCKV Institute of engineering, Howrah, India.
2Shams Tabrej Alam, ECE department, MCKV Institute of engineering, Howrah, India.
3Geetali chakraborty, ECE department, MCKV Institute of engineering, Howrah, India.
4Sudarshan Chakravorty, ECE department, MCKV Institute of engineering, Howrah, India.
Manuscript received on March 11, 2013. | Revised Manuscript Received on March 12, 2013. | Manuscript published on March 25, 2013. | PP: 20-22 | Volume-1 Issue-5, March 2013. | Retrieval Number: E0208031513/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The presence of clutter is a big obstacle for proper detection of targets in seaborne radar systems. Spatio- temporal adaptive processing (STAP) helps to remove the problem of clutter by exploiting Doppler spread. The modeling requirements of clutter for spatio-temporal adaptive processing are considered in this study. Modeling of the internal motion of seaborne clutter and its effect in the clutter domain is also studied.
Keywords: Adaptive processing, Doppler spread, Intrinsic clutter motion, Seaborne clutter, Spatio-temporal.