摘要
针对高斯色噪声条件下雷达目标二维成像问题,提出了一种基于四阶混合累积量的二维ESPRIT超分辨成像方法。利用四阶混合累积量对高斯色噪声的自动抑制,降低了噪声对成像质量的影响。通过保持目标特征矩阵结构不变,解决了现仃方法在长采样数据条件下计算量过大的问题。仿真实验表明该方法的成像效果和散射点位置估计精度优于传统方法。
A new method for two-dimensional super-resolution imaging of radar target in colored Gaussian noise, called two-dimensional FOMC （Fourth-Order Mixed Cumulants） based ESPRIT （2d-FOMCESPRIT）, is presented in this paper. The image is improved for the FOMC could eliminate the Gaussian noise automatically. Additionally this method is computationally much less intensive by holding the dimensions of the feature matrix in the presence of long records. Simulation results show that this method has better image quality than other methods.
出处
《电子与信息学报》
EI
CSCD
北大核心
2005年第10期1555-1559,共5页
Journal of Electronics & Information Technology
关键词
二维超分辨成像
四阶混合累积量
二维谐波恢复
高斯色噪声
Two-dimensional super-resolution imaging, Fourth-Order Mixed Cumulants（FOMC）, Two-dimensional harmonic retrieval, colored Gaussian noise
