A Channel Estimation Method for OTFS
Through OGCE-BEM and the RLS filter of variable forgetting function, the problem of large channel estimation calculation and insufficient accuracy in high-speed mobile environments is solved, and higher channel estimation accuracy and system performance are achieved.
CN116260682BActive Publication Date: 2025-08-01JIANGSU UNIV OF SCI & TECH
0 Cites 0 Cited by
Patent Information
- Application Number
- CN202310073311.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-02-07
- Publication Date
- 2025-08-01
- Estimated Expiration
- 2043-02-07
AI Technical Summary
Technical Problem
The existing OTFS modulation has a large amount of channel estimation calculation in high-speed mobile environments and fails to effectively consider the characteristics of high-speed mobile environments, resulting in insufficient channel estimation accuracy.
Method used
The channel is modeled using OGCE-BEM, and the channel matrix estimation problem is transformed into the estimation problem of basis function coefficients. The RLS filter based on variable forgetting function is designed, and the channel estimation accuracy is improved by iteratively updating the forgetting function.
Benefits of technology
This reduces computational complexity, reduces inter-carrier interference, improves channel estimation accuracy and system performance in high-speed mobile environments.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention discloses a channel estimation method for OTFS. For communication in a high-speed mobile environment, the transmission system is a single-input single-output system. A basis expansion model BEM applicable to high-speed mobile scenarios is established according to the sparsity of the channel impulse response. OGCE-BEM is used to fit the OTFS channel. The channel is fitted into the form of basis function coefficients and basis functions. Given the known basis functions, the channel matrix estimation problem is transformed into the estimation problem of basis function coefficients. Then, in the traditional RLS filter algorithm, based on the relationship between the forgetting factor and the estimation error, an iterative update rule based on the forgetting function is designed, improving the real-time tracking ability of the system. The present invention can effectively ensure the effectiveness and reliability of communication, greatly improving the channel estimation accuracy.
Need to check novelty before this filing date? Find Prior Art