不敏空时自适应处理算法

针对空时自适应处理(STAP)的非均匀检测环境,提出了一种新的不敏空时自适应处理算法.该算法通过对有限的非独立同分布(non-i.i.d)数据应用不敏变换(UT)来获得近似估计的协方差矩阵,即将原始的非均匀数据到其所对应的均匀数据看作一种特殊的非线性变换,利用不敏变换(UT)估计非均匀数据经非线性变换后所对应均匀数据的协方差矩阵,有效地降低了非均匀特性的影响.仿真结果验证了该算法在非均匀环境下具有良好的运动目标检测性能.

Unscented space-time adaptive processing algorithm

For the nonhomogeneous condition of space-time adaptive processing(STAP),a new unscented space-time adaptive processing algorithm is proposed that uses the unscented transformation(UT) to obtain the approximative covariance matrix in the nonhomogeneous condition,namely,the transformation from the original nonhomogeneous data to its corresponding homogenous data is thought as the special case,and by the proposed algorithm,the covariance matrix of the homogeneous data that transformed from the original nonhomogenous data can be estimated,the impact of the nonhomogeneous characteristic is reduced effectively.Simulation results indicate that the proposed algorithm has the favourable performance for moving targets detection.