Journal article

Adaptive Waveform Design for Improved Detection of Low-RCS Targets in Heavy Sea Clutter

Sandeep P Sira, Douglas Cochran, Antonia Papandreou-Suppappola, Darryl Morrell, William Moran, Stephen D Howard, Robert Calderbank

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2007

Abstract

The dynamic adaptation of waveforms for transmission by active radar has been facilitated by the availability of waveform-agile sensors. In this paper, we propose a method to employ waveform agility to improve the detection of low radar-cross section (RCS) targets on the ocean surface that present low signal-to-clutter ratios due to high sea states and low grazing angles. Employing the expectation-maximization algorithm to estimate the time-varying parameters for compound-Gaussian sea clutter, we develop a generalized likelihood ratio test (GLRT) detector and identify a range bin of interest. The clutter estimates are then used to dynamically design a phase-modulated waveform that minimizes ..

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Grants

Awarded by U.S. Department of Defense under Multi University Research Initiative


Awarded by Waveforms for Active Sensing Program under NRL


Funding Acknowledgements

This work was supported in part by the U.S. Department of Defense under Multi University Research Initiative Grant AFOSR FA9550-05-1-0443 administered by the Air Force Office of Scientific Research by DARPA, Waveforms for Active Sensing Program under NRL Grant N00173-06-1-G006; and the International Science Linkages established under the Australian Government's innovation statement "Backing Australia's Ability." The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Maria Sabrina Greco.