Evaluation of BAQ on Tiangong-2 interferometric imaging radar altimeter data compression

Xiaojin Shi, Yunhua Zhang, Xiao Dong
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引用次数: 2

Abstract

Tiangong-2 Interferometric imaging radar altimeter (InIRA) applies the technology of small incident angle and high precision interferometric phase measurement, which has the characteristics of wide swath, imaging and high accuracy height measuring. Compared with traditional altimeter, InIRA can realize much wider swath and can obtain SAR image of observed area, so there is a high requirement of onboard memory and downlink speed for InIRA. As a result, we need to investigate data compression technique for InIRA to reduce the data rate. As an efficient algorithm for SAR echoes data compression, Block Adaptive Quantization (BAQ) is widely used to spaceborne SAR system for raw data compression. The motivation of this work is to evaluate the influence of BAQ algorithm on interferometric coherence and sea surface height error for InIRA.
天宫二号干涉成像雷达高度计数据压缩的BAQ评价
天宫二号干涉成像雷达测高仪(InIRA)采用小入射角、高精度干涉测相技术,具有宽幅、成像、高精度测高的特点。与传统的高度计相比,InIRA可以实现更宽的波段,并且可以获得观测区域的SAR图像,因此对板载内存和下行速度有很高的要求。因此,我们需要研究InIRA的数据压缩技术,以降低数据速率。作为一种有效的SAR回波数据压缩算法,块自适应量化(BAQ)被广泛应用于星载SAR系统的原始数据压缩。本研究的目的是评估BAQ算法对InIRA干涉相干性和海面高度误差的影响。
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