Given the challenges associated with the low accuracy, complexity of the equipment, and poor interference resistance observed in current wireless multipath channel measurements, this study introduces a novel algorithm...
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Given the challenges associated with the low accuracy, complexity of the equipment, and poor interference resistance observed in current wireless multipath channel measurements, this study introduces a novel algorithm called KFSC-wrelax. This algorithm integrates techniques involving pseudorandom noise (PN) sequences, Kalman filtering (KF), sliding correlation, and weighted Fourier transform combined with the RELAXation (wrelax) algorithm. An m-sequence is employed as the probing sequence for channel detection. The effectiveness of the KFSC-wrelax algorithm is demonstrated through both simulation experiments and corridor testing, showing that it can accurately determine the delays in various paths with robust performance at a signal-to-noise ratio (SNR) of -5 dB or higher.
To overcome the shortcoming of low resolution of the matched filtering method when estimating time delays, the wrelax algorithm of the Nonlinear Least-Squares (NLS) parameters estimation problem is commonly used. Howe...
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ISBN:
(纸本)9781479928255;9781479928279
To overcome the shortcoming of low resolution of the matched filtering method when estimating time delays, the wrelax algorithm of the Nonlinear Least-Squares (NLS) parameters estimation problem is commonly used. However, the computing time of the wrelax algorithm is long. In this paper, the Scatter Search (SS)-based wrelax algorithm is applied in underwater acoustical channel computation. Multipath time delay estimation of a CW signal is calculated in Gaussian white noise channel with three SNR conditions of 20dB, 10dB, and 0 dB. Simulation results show that the SS-based wrelax algorithm reaches a higher resolution than the conventional matched filtering method. Moreover, the SS algorithm can reduce the iteration number a lot comparing with the Gauss-Newton algorithm in the process of searching the minimum objective function value.
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