针对强海杂波中的目标检测问题，对一种自适应波形设计算法进行了仿真研究．该算法首先利用期望最大化算法估计预测目标所在单元的海杂波统计特性，然后利用子空间方法实现海杂波抑制，最后以最大化广义似然比为准则，通过动态设计相位编码波形来匹配海杂波统计特性，以改善目标信杂比，进而改善目标检测性能．通过数值仿真验证了算法的有效性．仿真结果表明，与采用固定波形相比，采用自适应波形设计算法对于目标检测性能的改善程度可达7~10dB．%Aimed at the target detection in strong sea clutter, this paper studies and simulates a sort of adaptive waveform designing algorithm. In this algorithm, at first, the statistical property of sea clutter of the unit, where the predicted target is located, is estimated by means of expectation-maximization algorithm, the suppression of sea clutter is next implemented by using the sub-space method, and finally, the ratio of signal to clutter of the target is improved by dynamically designing phase coding waveform for matching the statistical property of sea clutter, thus improving the performance of target detection. By numerical simulation, this proposed algorithm proves to be effective. Simulation results show that the improvement degree of target detection performance can be up to 7-10 dB by using the adaptive waveform designing algorithm, compared with the fixed waveform.
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