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An Adaptive Estimation Method of Diagonal Loading Parameter for Airborne Radar |
JIANG Lei WANG Tong |
(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China) |
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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.
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Received: 08 September 2015
Published: 03 June 2016
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Fund: The National Natural Science Foundation of China (61372133) |
Corresponding Authors:
WANG Tong
E-mail: twang@mail.xidian.edu.cn
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