数据采集与处理2011，Vol.26Issue(2)：140-145,6.
利用先验信息的幅度-相位联合STAP样本选取方法
Knowledge-Aided Amplitude and Phase Combined Training Strategy for Space-Time Adaptive Processing
摘要
Abstract
A knowledge-aided amplitude and phase combined space-time adaptive processing (STAP) weight training strategy is presented to combat the main reasons of clutter inhomogeneous, clutter discrete and strong targets. According to the priori knowledge of clutter Doppler and angle of incidence, the method uses the range gates that have strongest power in the certain angle to form the training set ensuring the null depth for clutter discrete, and excludes the potential STAP training sample from training set if the measured phase significantly differs from the expected phase (angle) of clutter for the given Doppler, which ameliorates the target self-cancellation and clutter mitigation performance degradation when target signals are presented in STAP weight training set. The resulting training method based on both amplitude and phase selection criteria is shown to offer significant performance gains on experimental data.关键词
机载预警雷达/杂波抑制/时空适应性处理(STAP)/权值训练分类
信息技术与安全科学引用本文复制引用
范西昆,李俊,赵雪岩,王蓉..利用先验信息的幅度-相位联合STAP样本选取方法[J].数据采集与处理,2011,26(2):140-145,6.基金项目
陕西省自然科学基础研究(2010JQ8028)资助项目 （2010JQ8028）
西安市科技计划(CXY1008(5))资助项目 （CXY1008(5）
空军工程大学电讯工程学院博士启动基金(KDYBSJJ08402)资助项目. （KDYBSJJ08402）
