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System architectures and algorithms for radar imaging by MIMO-SAR

机译:MIMO-SAR雷达成像的系统架构和算法

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The multi-input / multi-output (MIMO) principle is well known for communication applications, whereas at least the name dasiaMIMOpsila is relatively new for radar applications. Nevertheless, the principle has been analyzed and used in a few examples since the early 80s or even before. A MIMO-radar is characterised by a number N of transmitting and a number M of receiving antennas forming N times M Tx/Rx pairs where each propagation path from the nth transmit antenna to the object to the mth receive antenna is made available to the signal processing. This can be achieved by temporal multiplexing, spatial coding and/or orthogonal waveforms. A further step is to transfer this technique to the SAR case. Additionally, the whole array is moving, SAR processing can be applied. Possible geometries of MIMO-SAR are along track arrays (reduction of azimuth-ambiguities, moving target indication, super resolution) or across track arrays (reduction of elevation-ambiguities, interferometry, 3D down-looking SAR). In this paper, some aspects of moving MIMO-arrays for SAR will be addressed.
机译:多输入/多输出(MIMO)原理在通信应用中是众所周知的,而至少名称dasiaMIMOpsila在雷达应用中相对较新。然而,自80年代初甚至更早以来,已经对该原理进行了分析和使用。 MIMO雷达的特征在于形成N倍M Tx / Rx对的N个发射天线和M个接收天线,其中使从第n个发射天线到对象到第m个接收天线的每个传播路径对信号可用加工。这可以通过时间多路复用,空间编码和/或正交波形来实现。进一步的步骤是将该技术转移到SAR案例中。此外,整个阵列都在移动,可以应用SAR处理。 MIMO-SAR的可能几何形状沿着轨迹阵列(减小方位角模糊度,移动目标指示,超分辨率)或跨越轨迹阵列(减小仰角模糊度,干涉测量,3D下视SAR)。在本文中,将讨论针对SAR移动MIMO阵列的某些方面。

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