Adaptive Waveform Design for Improved Detection of Low-RCS Targets in Heavy Sea Clutter
Adaptive Waveform Design for Improved Detection of Low-RCS Targets in Heavy Sea Clutter
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DOI：
10.1109/jstsp.2007.897048
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发表时间：
2007-06-01
影响因子：
7.5
通讯作者：
Calderbank, Robert
中科院分区：
文献类型：
--
作者：
Sira, Sandeep P.;Cochran, Douglas;Calderbank, Robert
波形捷变传感器的可用性促进了主动雷达传输波形的动态适应。在本文中，我们提出了一种方法，采用波形的灵活性，以提高低雷达截面（RCS）目标在海洋表面上，目前由于高海况和低掠射角的低信号杂波比的检测。采用期望最大化算法估计复合高斯海杂波的时变参数，我们开发了一个广义似然比检验（GLRT）检测器，并确定感兴趣的距离单元。然后，杂波估计用于动态地设计相位调制波形，该相位调制波形最大限度地减少了对该距离单元的单元外杂波贡献。基于真实的海杂波数据的仿真结果表明，该方法比非自适应系统的检测性能提高了约10 dB。
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.