一种波束域的高速空中动目标检测及参数估计方法

发布时间：2018-06-19 17:34

本文选题：机载雷达 + 空时自适应处理　；参考：《电子学报》2014年01期

【摘要】：Keystone变换所需的插值运算存在计算量大的问题,尤其是用于空时自适应处理(Space-Time Adaptive Processing,STAP)时需要对每个阵元接收的数据分别进行Keystone变换,给工程实现带来了困难.为了解决这一问题,提出了一种在波束域进行Keystone变换校正目标距离走动的新方法,该方法将传统的对每个阵元数据的Keystone变换转换为在波束域进行Keystone变换,从而将N个阵元对应的N次Keystone变换转换为只在主波束内进行一次Keystone变换,这样做使算法的主要运算量降低为原来的1/N.然后将压缩感知(Compressed Sensing,CS)理论用于空时自适应处理的目标参数估计,取得了良好的估计性能.最后通过仿真实验验证了本文方法的有效性.
[Abstract]:The interpolation operation required by Keystone transform has many problems, especially when it is used in space-time adaptive processing of Space-Time Adaptive processing process (STAP), it is necessary to carry out Keystone transform on the data received by each array element separately, which brings difficulties to the engineering implementation. In order to solve this problem, a new method is proposed to correct the range walk of the target by Keystone transform in beamspace. This method converts the traditional Keystone transform for each array metadata into the Keystone transform in the beamspace. Thus the N order Keystone transformation corresponding to N elements is converted to only one Keystone transformation in the main beam, which reduces the main computation of the algorithm to 1 / N. Then the compressed sensing CSC theory is applied to the target parameter estimation in space-time adaptive processing, and good estimation performance is obtained. Finally, the effectiveness of the proposed method is verified by simulation experiments.
【作者单位】：中国民航大学智能信号与图像处理天津市重点实验室;
【基金】：国家自然科学基金(No.61071194,No.61079008) 国家科技支撑计划课题(No.2011BAH24B12) 中央高校基本科研业务费(No.ZXH2011C006)
【分类号】：TN957.51

【参考文献】