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Elimination of Side Peaks Using Cyclostationarity of Pilots for OFDM Signals

机译:使用导频的循环平稳性消除OFDM信号的侧峰

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In this paper we investigate the reason on how the side peaks of ambiguity function are generated, and propose the solution to eliminate the side peaks, the occurrence of side-peak may mask the faint targets echoes at low signal-to-noise ratio (SNR), rendering target localization difficult. By developing cyclostationarity of pilots, we prove that the side peaks care caused by the periodicity of pilots in received OFDM signals, this is quite important in cognitive radio-aided passive correlation localization (CR-PCL). After sensing pilots structure, we get rid of these side peaks from the received targets echoes, therefore, the ambiguity function shows an ideal thumbtack-like ambiguity diagram and super delay-Doppler resolutions are obtained, simulations results verify that the proposed is robust to noise power uncertainty as performing the ambiguity function in a cognitive radio fashion.
机译:在本文中,我们研究了产生歧义函数侧峰的原因,并提出了消除侧峰的解决方案,侧峰的出现可能掩盖了低信噪比(SNR)下的微弱目标回波。 ),使目标定位变得困难。通过发展导频的循环平稳性,我们证明了由接收到的OFDM信号中的导频的周期性引起的侧峰关心,这在认知无线电辅助的被动相关定位(CR-PCL)中非常重要。在感测到飞行员的结构之后,我们从接收到的目标回波中去除了这些副峰,因此,模糊函数显示了一个理想的图钉样模糊图,并获得了超延迟多普勒分辨率,仿真结果验证了该方法对噪声的鲁棒性。功率不确定性,以认知无线电方式执行歧义功能。

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