摘要
针对现有的合成孔径雷达(SAR)成像方法,介绍了隐抽样平均算法的基本原理及时延确定的方法;进一步,将隐抽样平均算法用于SAR成像中,提出了基于隐抽样平均的SAR成像算法;该成像算法利用二元混沌信号作为雷达发射信号,通过产生一个特征波形来指示目标的时延;与传统的SAR相关成像算法相比,该成像算法不仅简单易行,运算量小,成像时间短,成像效率高,而且重构图像具有较高的图像分辨率;仿真结果表明,图像中的目标轮廓清晰,图像品质较高。
The basic principle of Implicit Sampling Averaging algorithm and method of time--delay determination are introduced aiming at the present synthetic aperture radar （SAR） imaging methods. More specifically, after used this implicit sampling averaging algorithm in SAR imaging, a new imaging algorithm based on implicit sampling averaging algorithm is brought forward. This imaging algorithm uses chaotic binary signals as transmitted radar signals and produces a characteristic waveform to indicate time delay. In contrast to conventional SAR correlate algorithm, this algorithm not only easy to implement, needs only a little computational and imaging time, but also has perfect image resolution in reconstructed images. The simulation results shows that the contours of the targets in reconstructed images are distinct. The performance of these images are fine.
出处
《计算机测量与控制》
CSCD
2008年第10期1457-1459,共3页
Computer Measurement &Control
基金
国家自然科学基金(10272113)
关键词
隐抽样平均
混沌信号雷达
SAR成像
implicit sampling averaging
chaotic signals radar
SAR imaging
