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Influence of Clutter on 5G waveform modulated RADAR signals

机译:杂波对5G波形调制雷达信号的影响

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The primary objective of radar is to identify a target in various scenarios. Radar signal generation with various coding and modulation schemes are introduced from earlier times to recent times for this purpose. There are not much efficient waveforms available for a radar system to identify a target, hence a new waveform modulation is always needed. In the work discussed here, a stepped frequency waveform (SFW) is modulated with two waveforms such as cyclic prefix - orthogonal frequency division multiplexing (CP-OFDM) and discrete fourier transform-spread- orthogonal frequency division multiplexing (DFT-S-OFDM) in order to improve the complexity of the waveform and to obtain pulse compression. This CP-OFDM and DFT-S-OFDM are the new waveform candidates that are expected to use in 5G communication systems. The modulated waveforms are analyzed with a clutter model in order to test whether this waveform design can be used in a radar system for the purpose of target identification in the midst of clutter. The modulated waveforms are analyzed using ambiguity functions.
机译:雷达的主要目标是在各种场景中识别目标。为此目的,从早期的时间引入具有各种编码和调制方案的雷达信号。没有多大的波形可用于雷达系统以识别目标,因此始终需要新的波形调制。在这里讨论的工作中,用诸如循环前缀 - 正交频分复用(CP-OFDM)的两个波形和离散的傅里叶变换 - 扩展正交频分复用(DFT-S-OFDM)来调制阶梯式频率波形(SFW)。(DFT-S-OFDM)为了提高波形的复杂性并获得脉冲压缩。此CP-OFDM和DFT-S-OFDM是预期在5G通信系统中使用的新波形候选。用杂波模型分析调制的波形,以测试该波形设计是否可以在雷达系统中使用,以便在杂波中的目标识别。使用模糊函数分析调制波形。

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