移动通信2026，Vol.50Issue(4)：100-106,7.DOI:10.3969/j.issn.1006-1010.20260121-0001
面向低空通信MIMO-OTFS系统的QR-BKS高效检测算法
Efficient QR-BKS Detection Algorithm for Low-Altitude MIMO-OTFS Communications
摘要
Abstract
To address the issues of high mobility and limited computation power of terminals in low-altitude communication MIMO-OTFS systems,this paper proposes an efficient QR decomposition-assisted block Klein sampling detection algorithm(QR-BKS).The algorithm deeply integrates block-wise Klein sampling with regularized MMSE-QR decomposition technology and utilizes a soft-mean-based soft interference cancellation mechanism to enhance the detector's error correction capability,thereby effectively overcoming the error propagation defects inherent in traditional successive interference cancellation.To meet real-time requirements of the system,a QR decomposition caching mechanism based on channel circulant properties and a dynamic randomized blocking strategy are designed.These strategies significantly reduce computational redundancy while effectively smoothing inter-block interference,eliminating the error floor phenomenon in the high signal-to-noise ratioregime.Furthermore,by introducing a fast hot-start mechanism based on least squares minimal residual and global Euclidean distance calibration,the algorithm further improves convergence speed and detection reliability.Simulation results demonstrate that in MIMO-OTFS systems,the proposed algorithm achieves superior detection performance with lower computational overhead,making it suitable for low-altitude intelligent network communication scenarios.关键词
低空通信/MIMO-OTFS/QR-BKS/分块Klein采样/动态随机分块/QR分解缓存Key words
low-altitude communications/MIMO-OTFS/QR-BKS/block-wise Klein sampling/dynamic randomized blocking/QR decomposition caching分类
信息技术与安全科学引用本文复制引用
彭创,唐猛,瞿源,孟垂翔..面向低空通信MIMO-OTFS系统的QR-BKS高效检测算法[J].移动通信,2026,50(4):100-106,7.基金项目
国家自然科学基金项目"基于时变信道的自适应因果物理层网络编码无线通信模型关键技术研究"(62561054) （62561054）
