二维CZT的稀疏阵列MIMO雷达快速极坐标格式成像算法  

A Fast Polar Format Imaging Algorithm of MIMO Radar with Sparse Array Based on Two-dimensional CZT

作　　者：赵小茹[1] 童宁宁[1] 胡晓伟[1] 丁姗姗[1] 

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《空军工程大学学报（自然科学版）》2017年第2期32-36,共5页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国家自然科学基金(6157010318)

摘　　要：由于极坐标格式算法(PFA)存在运算量大,且聚焦性能受插值精度影响等缺点。为解决该问题,提出一种基于二维Chirp-Z Translation(CZT)的稀疏阵列MIMO雷达快速成像算法,引入压缩感知原理,采用CZT变换代替插值运算,借助合适变换参数的选择,一步实现插值-重采样的处理过程。仿真验证表明,随着成像尺寸的变化,所提算法与经典PFA算法运算量的比值在0.22~0.4之间,有效地降低了运算量,同时保持了较低的图像熵,提高了聚焦性能。Aimed at the problem that by using the polar format algorithm （PFA） the computation amount is large and its imaging precision is affected by interpolation, a fast polar format imaging method of MIMO radar with sparse array based on two-dimensional CZT is proposed in this paper coupled with compressed sensing （CS） and the Chirp-Z translation （CZT）. Instead of the interpolation, the CZT achieves the inter- polation-re-sampling process by selecting proper parameters. With the imaging size changing, the simula- tion results show that the amount rate of computation work by the proposed algorithm to the PFA is main- tained between 0. 22-0. 4, thus reducing the computation amount and improving the precision availably with small image entropy.

关 键 词：CZT变换 极坐标格式算法 稀疏阵列 MIMO雷达成像 

分 类 号：TN957.51[电子电信—信号与信息处理]