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.
Original language | English (US) |
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Pages (from-to) | 56-66 |
Number of pages | 11 |
Journal | IEEE Journal on Selected Topics in Signal Processing |
Volume | 1 |
Issue number | 1 |
DOIs | |
State | Published - Jun 2007 |
Keywords
- Detection
- Sea clutter
- Waveform design
- Waveform-agile sensing
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering