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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- 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)

MELVIN W L. A STAP overview[J]. IEEE Aerospace and Electronic Systems Magazine, 2004, 19(1): 19-35. doi: 10. 1109/MAES.2004.1263229.

FERTIG L B. Analytical expressions for Space-Time Adaptive Processing (STAP) performance[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(1): 442-453. doi: 10.1109/TAES.2014.130676.

张柏华, 马红光, 孙新利, 等. 基于正交约束的导航接收机空时自适应方法[J]. 电子与信息学报, 2015, 37(4): 900-906. doi: 10.11999/JEIT140740.

ZHANG Baihua, MA Hongguang, SUN Xinli, et al. Space time adaptive processing technique based on orthogonal constraint in navigation receiver[J]. Journal of Electronics Information Technology, 2015, 37(4): 900-906. doi: 10.11999/ JEIT140740.

GUERCI J R, GOLDSTEIN J S, and REED I S. Optimal adaptive reduced-rank STAP[J]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(2): 647-663. doi: 10.1109/7.845255.

ZHU C, LI H B, and RANGASWAMY M. Conjugate gradient adaptive matched filter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(1): 178-191. doi: 10.1109/TAES.2014.130419.

YANG Z C, LI X, WANG H Q, et al. On clutter sparsity analysis in spacetime adaptive processing airborne radar[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(5): 1214-1218. doi: 10.1109/LGRS.2012.2236639.

马泽强, 王希勤, 刘一民, 等. 基于稀疏恢复的空时二维自适应处理技术研究现状[J]. 雷达学报, 2014, 3(2): 217-228. doi: 10.3724/SP.J.1300.2014.14002.

MA Zeqiang, WANG Xiqin, LIU Yimin, et al. An overview on sparse recovery-based STAP[J]. Journal of Radars, 2014, 3(2): 217-228. doi: 10.3724/SP.J.1300.2014.14002.

BANG J H, MELVIN W L, and LANTERMAN A D. Model- based clutter cancellation based on enhanced knowledge- aided parametric covariance estimation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(1): 154-166. doi: 10.1109/TAES.2014.130413.

CARLSON B D. Covariance matrix estimation errors and diagonal loading in adaptive arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1988, 24(4): 397-401. doi: 10.1109/7.7181.

VOROBYOV S A. Principles of minimum variance robust adaptive beamforming design[J]. Signal Processing, 2013, 93(12): 3264-3277. doi: 10.1016/j.sigpro.2012.10.021.

ABRAMOVICH Y I, JOHNSON B A, and SPENCER N K. Sample-deficient adaptive detection: adaptive scalar thresholding versus CFAR detector performance[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(1): 32-46. doi: 10.1109/TAES.2010.5417146.

KANG B, MONGA V, and RANGASWAMY M. Rank- constrained maximum likelihood estimation of structured covariance matrices[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1): 501-515. doi: 10.1109/TAES. 2013.120389.

GERLACH K and PICCIOLO M L. Airborne/Spacebased radar STAP using a structured covariance matrix[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(1): 269-281. doi: 10.1109/TAES.2003.1188909.

NEUMAIER A. Solving ill-conditioned and singular linear systems: a tutorial on regularization[J]. SIAM Review, 1998, 40(3): 636-666. doi: 10.1137/S0036144597321909.

陈宝林. 最优化理论与算法[M]. 北京: 清华大学出版社, 2005: 267-269.

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