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机构地区:[1]西安邮电学院通信与信息工程学院,陕西西安710121
出 处:《西安电子科技大学学报》2012年第3期185-189,195,共6页Journal of Xidian University
基 金:国家自然科学基金资助项目(61101243);国家部委预研重点实验室基金资助项目(***110C0104);教育部新世纪优秀人才资助项目(NCET-08-0891)
摘 要:提出了基于级数展开的杂波谱补偿方法,首先采用贝塞尔函数对每个距离环实现方位和俯仰角的分离;接着将训练单元的俯仰矢量向待检单元进行投影,得到一个变换矩阵.再使用变换矩阵对给定的多普勒门的数据进行处理,减轻杂波谱对距离的依赖性;最后,从变换后的数据中估计杂波协方差矩阵,再利用空时自适应算法对补偿后的数据进行杂波抑制.仿真结果表明,该方法能有效改善杂波的非平稳性,提高了系统抑制杂波的性能.The clutter spectrum depends highly on the range for forward-looking radar, which results in the heterogeneous ground clutter in space-time adaptive processing (STAP). According to the clutter model, a novel method is proposed. The method firstly uses the Bessel function to separate the azimuth from the elevation, and the spatial-time steering vector could be represented as the azimuth and elevation vector kronecker product to each range gate. Secondly, a transform matrix could be obtained by projecting the training unit of the elevation vector to the tested, which is applied to process the data at a given Doppler gate, and eliminate the heterogeneous ground clutter and generate a sufficient data to construct the new covariance matrix. Finally, the conventional STAP could be applied to the clutter suppression. Simulation results verify the effectiveness of the proposed method.
分 类 号:TN959.73[电子电信—信号与信息处理]
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