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Compression of synthetic aperture radar video phase history data using trellis-coded quantization techniques

机译:使用网格编码量化技术压缩合成孔径雷达视频相位历史数据

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Synthetic aperture radar (SAR) is a remote-sensing technology that uses the motion of the radar transmitter to synthesize an antenna aperture much larger than the actual antenna aperture to yield high-spatial resolution radar images. In this paper, trellis-coded quantization (TCQ) techniques are shown to provide a high-performance, low bit-error sensitivity solution to the problem of downlink data rate reduction for SAR systems. Trellis-coded vector quantization (TCVQ) and universal TCQ coding systems are discussed, implemented, and compared with other data compression schemes [block adaptive quantization (BAQ) and VQ] that can be used to compress SAR phase history data.
机译:合成孔径雷达(SAR)是一种遥感技术,利用雷达发射机的运动来合成远大于实际天线孔径的天线孔径,以产生高空间分辨率的雷达图像。在本文中,网格编码量化(TCQ)技术可为SAR系统的下行链路数据速率降低问题提供一种高性能,低误码敏感性的解决方案。讨论,实现了网格编码矢量量化(TCVQ)和通用TCQ编码系统,并将其与可用于压缩SAR相位历史数据的其他数据压缩方案[块自适应量化(BAQ)和VQ]进行了比较。

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