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一种基于KFSC-WRELAX算法的高分辨率多径延迟测量方法。

A High-Resolution Multipath Delay Measurement Method Using KFSC-WRELAX Algorithm.

作者信息

Dong Yu, Zhang Zhizhong

机构信息

School of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

出版信息

Sensors (Basel). 2024 Jul 31;24(15):4968. doi: 10.3390/s24154968.

Abstract

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.

摘要

鉴于当前无线多径信道测量中存在的精度低、设备复杂以及抗干扰能力差等挑战,本研究引入了一种名为KFSC-WRELAX的新算法。该算法集成了涉及伪随机噪声(PN)序列、卡尔曼滤波(KF)、滑动相关以及与RELAXation(WRELAX)算法相结合的加权傅里叶变换等技术。采用m序列作为信道检测的探测序列。通过仿真实验和走廊测试证明了KFSC-WRELAX算法的有效性,结果表明该算法在信噪比(SNR)为-5 dB或更高时,能够以稳健的性能准确确定各路径的延迟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8da/11315017/9277424c2b5e/sensors-24-04968-g001.jpg

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