首页> 外文会议>International Conference on Electronic Measurement amp; Instruments(ICEMI'2005) vol.4; 20050816-18; Beijing(CN) >Multipath Direction Finding in Mobile Communication Scenarios Using Temporal Smoothing and Higher-order Cyclostationarity
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Multipath Direction Finding in Mobile Communication Scenarios Using Temporal Smoothing and Higher-order Cyclostationarity

机译:使用时间平滑和高阶循环平稳性的移动通信场景中的多径方向寻找

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摘要

In this paper, we improve on the previous higher order cyclostationarity (HOCS) based multi- path direction finding algorithm with a view to applicating it in real wireless scenarios, in which the received signals model of mobile terminal is with time-variant phase and amplitude of multipath reflection coefficient. The temporal smoothing technology is applied based upon different time instances. The method first divides the received wavefronts into coherent groups via estimation the steering vector of each group at different time instances using HOCS matrix, and then estimates the directions of each coherent group separately with temporal smoothing algorithm. Compared with all the previous HOCS-based methods, the proposed method achieves further array aperture extension as well as its powerful capability of noise-suppression and signal-selectivity by the use of HOCS. A maximum of (M-1)~2 angles of coherent signals of interest (SOIs) can be estimated with M-sensor ULA. The total number of signals (SOIs and interferences) impinging on antenna array can be more than (M-1)~2.
机译:在本文中,我们改进了先前基于高阶循环平稳性(HOCS)的多路径测向算法,以期将其应用在实际无线场景中,其中移动终端的接收信号模型具有时变相位和幅度多径反射系数。基于不同的时间实例应用时间平滑技术。该方法首先通过使用HOCS矩阵估计每个组在不同时间点的导引向量,将接收到的波前划分为相干组,然后使用时间平滑算法分别估计每个相干组的方向。与所有以前的基于HOCS的方法相比,该方法通过使用HOCS实现了进一步的阵列孔径扩展以及强大的噪声抑制和信号选择性功能。使用M传感器ULA可以估计感兴趣的相干信号(SOI)的最大(M-1)〜2个角度。撞击在天线阵列上的信号总数(SOI和干扰)可以大于(M-1)〜2。

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