机载雷达自适应对角加载参数估计方法

姜磊; 王彤

doi:10.11999/JEIT151003

机载雷达自适应对角加载参数估计方法

doi: 10.11999/JEIT151003

姜磊¹,
王彤¹

基金项目:

国家自然科学基金(61372133)

计量
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- HTML全文浏览量: 147
- PDF下载量: 335
- 被引次数: 0
出版历程
- 收稿日期: 2015-09-08
- 修回日期: 2016-05-03
- 刊出日期: 2016-07-19

An Adaptive Estimation Method of Diagonal Loading Parameter for Airborne Radar

JIANG Lei¹,
WANG Tong¹

Funds:

The National Natural Science Foundation of China (61372133)

摘要

摘要: 对角加载可以提高空时自适应处理在低样本情况下的性能。然而，在实际中加载参数的确定是一个较为困难的问题。为了解决这个问题，该文提出一种基于回波数据的自适应对角加载参数估计方法。该方法首先将对角加载问题转化为Tikhonov规划问题，然后利用广义交叉验证准则构造优化问题，最后采用割线法求解优化问题、计算加载参数。仿真与实测数据结果表明该方法可以有效提高机载雷达在低样本条件下的目标检测性能。
- 目标检测 /
- 空时自适应处理 /
- 对角加载 /
- 参数估计 /
- 广义交叉验证 /
- 割线法
Abstract: Diagonal loading method can be exploited to improve the performance of Space Time Adaptive Processing (STAP) in the face of limited training data. However, the diagonal loading level may be not easily determined in fact. To solve this problem, an adaptive parameter estimation method based on the received radar data is proposed. The diagonal loading problem is firstly transformed into the Tikhonov regularization problem. Then, Generalized Cross Validation (GCV) is introduced to construct the optimization problem. Finally, secant method is utilized to solve the optimization problem and calculate the loading parameter. The performance of the method is demonstrated using both simulated data and measured data. The results show that the method can improve the radar moving target detection performance in a limited sample support environment.
- Target detection /
- Space Time Adaptive Processing (STAP) /
- Diagonal loading /
- Parameter estimation /
- Generalized Cross Validation (GCV) /
- Secant method

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参考文献(17)

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