Turbo receiving method in low-orbit satellite OTFS system

By employing the BEM-LS channel estimation method in LEO satellite communication, the problem of decreased channel estimation accuracy caused by fractional Doppler spread is solved by using BEM to perform parameterized channel modeling and combining it with the LS algorithm. This achieves efficient and reliable channel estimation and improved communication performance.

CN122419554APending Publication Date: 2026-07-17CHONGQING UNIV OF POSTS & TELECOMM

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHONGQING UNIV OF POSTS & TELECOMM
Filing Date
2026-04-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing LEO satellite communications, channel estimation methods based on the point sparsity assumption suffer from decreased channel estimation accuracy when faced with high-speed relative motion between the satellite and the ground and fractional Doppler spread caused by ground multipath scattering, making it difficult to meet the requirements of high-speed dynamic communication.

Method used

The channel is parameterized using the Basis Extended Model (BEM) and the channel coefficients are estimated by combining the Least Squares (LS) algorithm. The BEM order and pilot power ratio are jointly optimized to construct a closed-loop iterative structure for BEM-LS channel estimation, detector, and decoder.

Benefits of technology

This improved channel estimation accuracy and communication reliability, reduced computational overhead, and enabled a highly efficient and reliable LEO satellite OTFS system receiving scheme.

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Abstract

本发明请求保护一种低轨卫星OTFS系统中的Turbo接收方法,属于无线通信技术领域。针对低轨卫星OTFS系统信道估计时,现有压缩感知类算法因依赖延迟‑多普勒(DD)域点稀疏假设而导致信道估计精度大幅降低的问题,本发明提出一种基于基扩展模型与最小二乘(BEM‑LS)的Turbo接收方法。首先,通过BEM对低轨卫星信道进行参数化建模,结合LS算法实现信道系数估计,解决对信道稀疏先验的依赖;其次,联合优化BEM阶数和导频功率比,在保证信道估计精度的同时控制计算开销;最后,将BEM‑LS信道估计模块与检测器、译码器进行联合迭代设计,利用译码器输出的软信息对信道估计结果进行动态更新,构建闭环接收结构,实现系统误码性能逼近理想信道估计下的性能水平。
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