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Path-based channel estimation for acoustic OFDM systems: Real data analysis

机译:声OFDM系统中基于路径的信道估计:真实数据分析

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We address detection of acoustic OFDM signals using a channel estimation method based on a physical model of multipath propagation rather than an equivalent sample-spaced model. The path identification (PI) algorithm focuses on explicit estimation of delays and complex amplitudes of the channel paths. We apply this algorithm, along with the conventional least squares (LS) and orthogonal matching pursuit (OMP) to a set of signals recorded over a mobile acoustic channel. We demonstrate excellent performance of the PI algorithm and show that its complexity is considerably lower than that of the OMP algorithm. The PI algorithm consistently outperforms the conventional LS and compares favorably with the OMP algorithm in terms of the mean-squared data detection error observed for a varying number of OFDM carriers and receiver array configurations.
机译:我们使用基于多径传播的物理模型而不是等效的采样间隔模型的信道估计方法来解决声学OFDM信号的检测问题。路径识别(PI)算法专注于显式估计信道路径的延迟和复杂幅度。我们将此算法与常规最小二乘法(LS)和正交匹配追踪(OMP)一起应用于在移动声信道上记录的一组信号。我们展示了PI算法的出色性能,并表明它的复杂度大大低于OMP算法。 PI算法始终优于传统的LS,并且就不同数量的OFDM载波和接收器阵列配置所观察到的均方数据检测误差而言,与OMP算法相比具有优势。

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