Name
Title | ||
|---|---|---|
NLOS channel identification based on energy detection in 60 GHz communication systems |
Abstract | ||
|---|---|---|
Indoor localization techniques can produce significant errors in non-line-of-sight (NLOS) channels. To mitigate this problem, a new approach to channel identification based on the ratio of the minimum slope and skewness of the output of an energy detector is presented. The IEEE 802.15.3c 60 GHz channel models are used to examine the performance of this technique. The simplicity of the proposed approach lies in the use of an energy based time of arrival (TOA) estimation algorithm. Performance results are presented which show that accurate identification of the type of channel can be achieved. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/PACRIM.2015.7334887 | 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) |
Keywords | Field | DocType |
NLOS identification,skewness,minimum slope,60 GHz,energy detector,IEEE 802.15.3c | Non-line-of-sight propagation,Channel models,Skewness,Computer science,Signal-to-noise ratio,Communication channel,Communications system,Real-time computing,Detector,Time of arrival | Conference |
ISSN | Citations | PageRank |
2154-5952 | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| xiaolin liang | 1 | 70 | 7.44 |
| Hao Zhang | 2 | 151 | 23.73 |
| Tingting Lv | 3 | 7 | 1.59 |
| Xuerong Cui | 4 | 34 | 7.33 |
| T. Aaron Gulliver | 5 | 864 | 143.47 |