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A High-Resolution Multipath Delay Measurement Method Using KFSC-WRELAX Algorithm
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DOI：10.3390/s24154968.png)
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Abstract
En 中文
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.
Keywords:
m-sequence
Kalman filtering
sliding correlation
WRELAX algorithm
channel measurement
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