摘要
针对非正侧视阵训练样本非均匀导致自适应处理性能下降这一问题,提出了基于迭代自适应方法的角度多普勒补偿法及改进方法。通过迭代自适应方法找到各距离门的主杂波所处的空域和多普勒域的中心位置,之后对待检测单元的训练样本数据进行角度多普勒补偿。由于全空时域的功率谱估计搜索速度慢,搜索精度低,为此提出了局部搜索的快速迭代自适应功率估计算法和网格重构的迭代自适应功率估计算法。通过仿真实验及分析证明了所提方法的有效性,同时随着谱估计方法的改进,该方法的性能也会得到提升。
As for non-sidelooking array, the performance of adaptive processing degrades seriously because of the heterogeneity of training samples. Thus, the angle-Doppler compensation (ADC) method and its improvement methods based on iterative adaptive approach (IAA) are proposed. The proposed method finds the central position of space and Doppler domain where the main clutter in each range gate lies via IAA, then compensates the angle and Doppler for training data in the cell under test. To solve the problem of slow searching speed and low searching accuracy of the power spectrum estimation in the whole space time domain, two kinds of local searching power spectrum estimation methods are proposed: fast iterative adaptive approach (FIAA) and adaptive remeshing based on iterative adaptive approach (ARIAA). Simulation results prove the effectiveness of our proposed methods, and the performance of these methods will be improved with the improvement of spectral estimation approach.
作者
陶芙宇
王彤
夏月明
TAO Fuyu;WANG Tong;XIA Yueming(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China)Abstract: As for non-sidelooking array, the performance)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2019年第2期291-297,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(61372133
61471285)资助课题
关键词
非正侧视雷达
迭代自适应方法
角多普勒补偿
快速迭代自适应方法
网格重构迭代自适应方法
non-sidelooking array
iterative adaptive approach (IAA)
angle-Doppler compensation (ADC)
fast iterative adaptive approach (FIAA)
adaptive remeshing based on iterative adaptive approach (ARIAA)
