Name
Abstract | ||
|---|---|---|
This paper presents a novel two-step method for channel estimation in millimeter wave hybrid MIMO systems over doubly (time and frequency) selective channels. In the first step, the dominant delay taps of the channel are selected by using an energy detector. In the second step, utilizing the basis expansion model (BEM) for effectively representing doubly selective channels, a BEM-based block orthogonal matching pursuit algorithm is proposed for estimating the gains of the selected delay taps. The proposed method benefits from exploiting the entire available training sequence to estimate all channel parameters, is capable of capturing channel variations across the whole training frames and does not require any feedback. Computer simulations and complexity evaluations show that the proposed approach can significantly improve the mean squared error performance compared with the existing techniques without increasing the computational complexity. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/VTC2021-FALL52928.2021.9625065 | 2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL) |
Keywords | DocType | ISSN |
Millimeter wave, hybrid MIMO, channel estimation, sparse recovery, basis expansion model | Conference | 2577-2465 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Mohebbi | 1 | 0 | 0.34 |
| Hamed Abdzadeh-Ziabari | 2 | 1 | 1.70 |
| Wei-Ping Zhu | 3 | 0 | 1.01 |
| M. Omair Ahmad | 4 | 0 | 1.69 |