Finaly, the prospects for synthetic aperture radar raw data compression is looked forward.
最后展望了合成孔径雷达原始数据压缩的发展前景。
Real time SAR signal preprocessing occurs on the radar raw data, and have no direct relationship with the imaging algorithm.
信号的预处理发生在原始数据阶段，和具体的成像算法并没有直接的联系。
So we are also currently working on a "software radar blanker" which will analyze raw data and use statistical analysis to find radar patterns.
因此我们目前正在制定一项“软件雷达消除器”，它将对原始数据进行分析并使用结合统计分析的办法来找到雷达模式。
Block Adaptive Quantization (BAQ) is the most efficient algorithm for Synthetic Aperture Radar (SAR) raw data compression. In this paper, the theory on this algorithm is introduced.
分块自适应量化(BAQ)算法是目前最适于工程实现的合成孔径雷达(SAR)原始数据压缩算法。
The effect of quantification noise, saturation noise and bit error noise of synthetic aperture radar(SAR)raw data on the signal to noise ratio of distributed targets is analyzed.
定量分析了星载合成孔径雷达（SAR）原始回波信号的量化噪声、饱和噪声以及误码噪声对面目标信噪比的影响；
It also discusses the antenna beam control, the radar pulse control, and the clutter-lock on the raw data stage, etc.
同时也兼顾到了天线姿态，波束指向的控制；雷达波门，脉冲重复频率控制；
It is difficult to directly compress synthetic aperture radar (SAR) raw data for the low relativity.
由于合成孔径雷达(SAR)原始数据的相关性很低，直接压缩原始数据是比较困难的。
It is difficult to directly compress synthetic aperture radar (SAR) raw data for the low relativity.
由于合成孔径雷达(SAR)原始数据的相关性很低，直接压缩原始数据是比较困难的。
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