Name
Abstract | ||
|---|---|---|
In this paper, a low-complexity channel estimation method is proposed for single-user millimeter-wave MIMO systems, which is applicable to both uniform linear array and uniform planar array structures. Through applying the discrete Fourier transform (DFT) basis to jointly represent the channel matrix and design the pilot beams such that the product of the pilot beam matrix with the inverse DFT is a unitary matrix, the received pilot signal can be approximately expressed as a scaled version of channel representation coefficients. Thus, the channel matrix can be estimated directly by two times of matrix multiplication. More specifically, multiply the received pilot signal with DFT matrix on the left and inverse DFT in the right. Analytical and simulation results show that the proposed method has lower computational complexity and better estimation accuracy than the least square and compressed channel sensing using orthogonal matching pursuit. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11277-019-06249-6 | Wireless Personal Communications |
Keywords | Field | DocType |
Millimeter-wave MIMO, Channel estimation, DFT basis, Low complexity | Planar array,Matrix (mathematics),Computer science,Unitary matrix,Algorithm,Communication channel,Real-time computing,Discrete Fourier transform,Matrix multiplication,Pilot signal,DFT matrix | Journal |
Volume | Issue | ISSN |
107 | 1 | 0929-6212 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinrong Ye | 1 | 19 | 3.23 |
| Gan Zheng | 2 | 2199 | 115.78 |
| Aiqing Zhang | 3 | 104 | 14.77 |
| Li You | 4 | 273 | 28.95 |
| Xiqi Gao | 5 | 3043 | 217.05 |