Math @ Duke
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Publications [#235887] of Robert Calderbank
Papers Published
- Sira, SP; Cochran, D; Papandreou-Suppappola, A; Morrell, D; Moran, W; Howard, SD; Calderbank, R, Adaptive waveform design for improved detection of low-RCS targets in heavy sea clutter,
IEEE Journal on Selected Topics in Signal Processing, vol. 1 no. 1
(June, 2007),
pp. 56-66, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1932-4553 [doi]
(last updated on 2025/02/21)
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 the out-of-bin clutter contributions to this range bin. A simulation based on parameters derived from real sea clutter data demonstrates that our approach provides around 10 dB improvement in detection performance over a nonadaptive system. © 2007 IEEE.
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