A low-complexity channel estimation method based on user frequency band and simplified basis expansion

By using a method based on user frequency band and simplified basis expansion, the complexity of the BEM channel estimation algorithm is reduced, the problem of high computational complexity in the existing technology is solved, and better application in practical systems is achieved without affecting performance.

CN116170259BActive Publication Date: 2025-09-16XIDIAN UNIV
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Patent Information

Application Number
CN202310165516.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-02-24
Publication Date
2025-09-16
Estimated Expiration
2043-02-24

AI Technical Summary

Technical Problem

The computational complexity of the existing BEM algorithm in dynamic multipath channels is too high, resulting in high resource utilization and long processing time, making it difficult to apply to practical systems.

Method used

By using a method based on user frequency band and simplified basis expansion, the calculation dimension of the basis expansion matrix is ​​reduced, and the matrix multiplication is converted into vector multiplication to reduce the computational complexity. The direct relationship between the basis coefficients and the frequency domain channel matrix is ​​adopted to achieve low-complexity channel estimation.

Benefits of technology

Without affecting the performance, the complexity of the BEM channel estimation algorithm is reduced, making it more applicable to practical systems.

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Abstract

The present invention discloses a low-complexity channel estimation method based on user frequency band and simplified basis expansion, which relates to the field of digital communication technology. The method comprises the following steps: obtaining a local time domain signal and extracting a local user frequency band from the local time domain signal; obtaining a frequency domain signal received by a user and extracting a user reception frequency band from the frequency domain signal received by the user; generating basis vectors according to a basis expansion model and performing frequency domain transformation on the basis vectors to obtain a frequency domain transformation matrix; transforming the local user frequency band to obtain a transformation domain symbol A; merging the frequency domain transformation matrices corresponding to all basis vectors to obtain a vector B; multiplying the transformation domain symbol A and the vector B to obtain a solution matrix Q; obtaining a basis coefficient matrix according to the user reception frequency band and the solution matrix; obtaining a time domain channel response matrix according to the basis coefficient matrix, and performing frequency domain transformation on the time domain channel response matrix to obtain a frequency domain channel response matrix. The present invention can provide a channel estimation algorithm with low computational complexity.
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