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Formation of Range-Doppler Maps Based on Sparse Reconstruction

机译:基于稀疏重构的距离多普勒图的形成

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This paper presents an application of compressed sensing in a pulsed system, such as a radar or sonar to form range-Doppler maps. Instead of transmitting a train of pulses, we portrait a system where the pulse emission itself takes place in a sparse manner. We show that any empty data segments can effectively be filled in by sparse reconstruction, which can also be used to extrapolate supplementary values. Simulations covering various conditions are used to demonstrate the effectiveness of the proposed setup.
机译:本文介绍了压缩传感在脉冲系统(如雷达或声纳)中形成距离多普勒图的应用。我们不是传输脉冲序列,而是描述一个系统,在该系统中,脉冲发射本身以稀疏方式发生。我们显示,稀疏的重构可以有效地填充任何空数据段,也可以用来推断补充值。涵盖各种条件的仿真用于证明所提出设置的有效性。

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