Name
Abstract | ||
|---|---|---|
In order to make full use of various LTE MIMO transmission modes, we aim for a feasible MIMO channel estimation scheme with high accuracy and low complexity. Exploiting the sounding reference signal and channel sparsity, an efficient MIMO channel estimation algorithm is derived in terms of both the maximum likelihood estimation and minimum description length criterion for tap selection. The scheme exhibits excellent performance for sparser channel. Furthermore, its complexity is quite low due to the use of FFT and power sorting. Simulation and real-world experimental results of a 2×2 MIMO system are demonstrated to confirm the above merits. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ACSSC.2014.7094598 | ACSSC |
Keywords | Field | DocType |
sounding reference signal,maximum likelihood estimation,lte mimo transmission mode,mimo sparse channel estimation,fft,tap selection,computational complexity,wireless channels,mimo communication,power sorting,multiple input multiple output system,long term evolution,minimum description length criterion,fast fourier transforms,channel estimation | MIMO-OFDM,Mathematical optimization,Multi-user MIMO,Computer science,Communication channel,MIMO,Sorting,Electronic engineering,Fast Fourier transform,Sounding reference signal,Precoding | Conference |
ISSN | Citations | PageRank |
1058-6393 | 0 | 0.34 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeng-Kuang Hwang | 1 | 71 | 16.18 |
| Jen-Hao Liu | 2 | 0 | 0.34 |
| Chien-Min Chen | 3 | 0 | 0.34 |
| Chuan-Shun Lin | 4 | 0 | 0.34 |