Iterative channel estimation method for constant envelope modulation system based on DBD decomposition

By adopting an iterative channel estimation method based on DBD decomposition, the problem of high channel estimation complexity for constant envelope modulation signals in low-Earth orbit satellite communication is solved, achieving high-performance channel estimation with low complexity and reducing mean square error.

CN118337568BActive Publication Date: 2026-07-21SHANGHAI JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI JIAOTONG UNIV
Filing Date
2024-04-28
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing channel estimation algorithms are not suitable for constant envelope modulation signals in low-Earth orbit satellite communications. In particular, the LS channel estimation algorithm performs poorly at low signal-to-noise ratios, and the MMSE channel estimation algorithm is complex and unsuitable for the short frame characteristics of low-Earth orbit satellites.

Method used

An iterative channel estimation method based on DBD decomposition is adopted. The constant envelope modulation signal is decomposed by DBD, and the channel parameters are estimated using distributed pilot sequences. The channel estimation results are optimized through an iterative process, including Viterbi demodulation and LDPC decoding, until the difference is less than a threshold and the iteration is terminated.

Benefits of technology

It effectively reduces the time and space complexity of channel estimation, improves channel estimation performance, reduces mean square error, and enhances the accuracy of channel estimation.

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Abstract

The application relates to an iterative channel estimation method of a constant envelope modulation system based on DBD decomposition, which comprises the following steps: S1, DBD decomposition is carried out on a constant envelope modulation signal to obtain a decomposition form of the constant envelope modulation signal, and then sampling is carried out on a received signal to obtain a sampling result; S2, an initial estimation value of a channel parameter is obtained; S3, Viterbi demodulation and LDPC decoding are carried out to obtain bit information; S4, a reconstruction signal is generated; S5, the channel parameter is re-estimated to obtain a new channel estimation result; and S6, the new channel estimation result is taken as a current channel estimation result, and S3-S5 are repeated. Compared with the prior art, the application has the advantages of effectively reducing time complexity and space complexity, improving channel estimation performance and the like.
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