Dong Yu, Zhang Zhizhong
School of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Sensors (Basel). 2024 Jul 31;24(15):4968. doi: 10.3390/s24154968.
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.
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。
