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Some alternatives in transform-domain suppression of narrow-band interference for signal detection and demodulation

机译:用于信号检测和解调的窄带干扰的变换域抑制的一些替代方案

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摘要

Conventional detection and demodulation rules are not ideally suited for use with discrete Fourier transform (DFT) based narrow-band interference suppression, if the DFT incorporates time-weighting to localize the interference spectrally. Detection rules which are adapted to the time-weighting are introduced and shown to offer significant improvements in performance, but their implementation is complex. It is found that if a spectrally-contained orthogonal transform (SCOT) is employed in place of the windowed DFT however, the conventional detection rules have a level of performance comparable to that obtained with DFT based suppression and the adapted rules. In addition to yielding good interference localization, SCOTs benefit from the fact that they provide a Karhunen-Loeve like transform for each component of the observation. The primary focus of the paper is the application of interference suppression for the detection of the presence of covert signals; however, it is also demonstrated that SCOT based suppression is potentially better suited than DFT based suppression for data demodulation in commercial code-division multiple-access (CDMA) network overlays.
机译:如果DFT合并了时间加权以频谱地定位干扰,则常规的检测和解调规则不适合与基于离散傅里叶变换(DFT)的窄带干扰抑制配合使用。引入了适用于时间加权的检测规则,并显示它们可以显着提高性能,但是实现起来很复杂。已经发现,如果采用频谱包含的正交变换(SCOT)代替开窗的DFT,则常规检测规则的性能水平可与基于DFT的抑制和自适应规则相比。除了产生良好的干扰定位外,SCOT还受益于以下事实:它们为观测的每个分量提供了类似Karhunen-Loeve的变换。本文的主要重点是将干扰抑制技术应用于隐蔽信号的检测。但是,还证明了基于SCOT的抑制可能比基于DFT的抑制更适合用于商业码分多址(CDMA)网络覆盖中的数据解调。

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