An Adaptive Estimation Method of Diagonal Loading Parameter for Airborne Radar
Funds:
The National Natural Science Foundation of China (61372133)
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摘要: 對角加載可以提高空時自適應處理在低樣本情況下的性能。然而，在實際中加載參數(shù)的確定是一個較為困難的問題。為了解決這個問題，該文提出一種基于回波數(shù)據(jù)的自適應對角加載參數(shù)估計方法。該方法首先將對角加載問題轉(zhuǎn)化為Tikhonov規(guī)劃問題，然后利用廣義交叉驗證準則構(gòu)造優(yōu)化問題，最后采用割線法求解優(yōu)化問題、計算加載參數(shù)。仿真與實測數(shù)據(jù)結(jié)果表明該方法可以有效提高機載雷達在低樣本條件下的目標檢測性能。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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