Time-frequency block-sparse channel estimation method based on compressed sensing
US11190377B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 28, 2021 |
| Grant date | Nov 30, 2021 |
| Priority date | — |
| Expiry date | Jan 28, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L25/025
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A time-frequency block-sparse channel estimation method based on compressed sensing includes the following steps. Step 1: A channel model is established. Step 2: According to the channel model obtained in Step 1, a sparse signal estimation value is solved by a compressed sensing method to further calculate an index set. Step 3: According to the index set obtained in Step 2, a channel matrix estimation value is solved. The method provides a generalized block adaptive gBAMP algorithm, which uses time-frequency joint block sparsity of a massive MIMO system to further optimize selection of an index set in an algorithm iteration process to improve stability of the algorithm. Then, without a specified threshold parameter, based on an F norm, an adaptive iteration stop condition is determined based on a residual, and the validity of the method is proved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.