Adaptive waveform design for improved detection of low-RCS targets in heavy sea clutter

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Sira, SP; Cochran, D; Papandreou-Suppappola, A; Morrell, D; Moran, W; Howard, SD; Calderbank, R

Published Date

  • June 1, 2007

Published In

Volume / Issue

  • 1 / 1

Start / End Page

  • 56 - 66

International Standard Serial Number (ISSN)

  • 1932-4553

Digital Object Identifier (DOI)

  • 10.1109/JSTSP.2007.897048

Citation Source

  • Scopus