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作 者:李丽亚[1] 刘宏伟[1] 纠博[1] 吴顺君[1]
机构地区:[1]西安电子科技大学雷达信号处理国家重点实验室,西安710071
出 处:《西安交通大学学报》2008年第10期1290-1294,共5页Journal of Xi'an Jiaotong University
基 金:国家自然科学基金资助项目(60772140);教育部长江学者和创新团队支持计划资助项目(IRT0645)
摘 要:针对雷达在斜视工作下的干涉相位模糊问题,提出了一种新的特显点干涉逆合成孔径雷达(ISAR)成像算法.该算法利用特显点信噪比较高、干涉相位估计值较为准确的特性,根据特显点的多普勒频率和横距信息拟舍得到目标的多普勒频率与横距的关系,从而对整幅ISAR像进行横向定标,得到目标的干涉ISAR像.该算法能消除干涉相位缠绕,而且对噪声具有较强的鲁棒性,同经典的干涉ISAR成像算法相比,在正确成像时,该算法所需的信噪比可降低10-15dB.Aiming at the interferometric phase wrapping in squint model, a novel interferometric inverse synthetic aperture radar (ISAR) imaging algorithm based on dominant scatterers is proposed. By using the higher level of signal-to-noise ratio (SNR) and the more accurate interferometric phase estimations of dominant scatterers, the relationship between the target's Doppler frequency and the cross range is obtained based on the information about Doppler frequency and the cross range at dominant scatterers. The whole ISAR image can be scaled, and then, the interferometric ISAR image is obtained. The proposed algorithm can not only eliminate the phase wrapping, but also be robust to noise. Compared with the traditional interferometric ISAR imaging algorithms, the SNR that is required in the proposed algorithm is decreased by 10-15 dB when the vivid image is generated.
分 类 号:TN958[电子电信—信号与信息处理]
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