Name
Title | ||
|---|---|---|
A novel time of arrival estimation algorithm using an energy detector receiver in MMW systems. |
Abstract | ||
|---|---|---|
This paper presents a new time of arrival (TOA) estimation technique using an improved energy detection (ED) receiver based on the empirical mode decomposition (EMD) in an impulse radio (IR) 60 GHz millimeter wave (MMW) system. A threshold is employed via analyzing the characteristics of the received energy values with an extreme learning machine (ELM). The effect of the channel and integration period on the TOA estimation is evaluated. Several well-known ED-based TOA algorithms are used to compare with the proposed technique. It is shown that this ELM-based technique has lower TOA estimation error compared to other approaches and provides robust performance with the IEEE 802.15.3c channel models. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s13634-017-0520-x | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
Empirical mode decomposition (EMD),Impulse radio (IR),Energy detection (ED),Millimeter wave (MMW),Time of arrival (TOA) | Extremely high frequency,Channel models,Computer science,Extreme learning machine,Algorithm,Communication channel,Impulse radio,Detector,Time of arrival,Hilbert–Huang transform | Journal |
Volume | Issue | ISSN |
2017 | 1 | 1687-6180 |
Citations | PageRank | References |
5 | 0.42 | 18 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| xiaolin liang | 1 | 70 | 7.44 |
| hao zhang | 2 | 121 | 16.46 |
| Tingting Lyu | 3 | 11 | 1.86 |
| Han Xiao | 4 | 6 | 1.45 |
| T. Aaron Gulliver | 5 | 864 | 143.47 |