首页> 外文会议>2016 24th Signal Processing and Communication Application Conference >Obtaining delay profiles with Pisarenko Harmonic Decomposition and Multiple Signal Classification method for FMCW channel data with in band interference
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Obtaining delay profiles with Pisarenko Harmonic Decomposition and Multiple Signal Classification method for FMCW channel data with in band interference

机译:带内干扰的FMCW信道数据的Pisarenko谐波分解和多信号分类方法获得延迟分布

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摘要

The aim of this study was to reduce the effect of in band interference in frequency modulated continuous wave (FMCW) channel data. In band interference increases noise floor in average power delay profile (APDP), i.e obscuring weaker multipath components. Pisarenko Harmonic Decomposition (PHD) and Multiple Signal Classification (MUSIC) Methods, which are subspace methods, enabled multipath components that were about 25 dB below the strongest components to be identified. Spurious peaks were observed in APDPs obtained with PHD and the weak echoes that could not be identified with FFT method, were identified with MUSIC.
机译:这项研究的目的是减少频带内干扰对调频连续波(FMCW)信道数据的影响。带内干扰会增加平均功率延迟曲线(APDP)的本底噪声,即掩盖较弱的多径分量。作为子空间方法的Pisarenko谐波分解(PHD)和多信号分类(MUSIC)方法可以识别比最强分量大约低25 dB的多径分量。在通过PHD获得的APDP中观察到了杂散峰,通过MUSIC识别了FFT方法无法识别的弱回波。

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