수중채널 환경에서 측정데이터를 이용한 빔형성기가 결합된 다이버서티의 상관 계수 분석Correlation coefficient analysis of the diversity combined with beamforming technologies for underwater channel environments using measurements data
- Other Titles
- Correlation coefficient analysis of the diversity combined with beamforming technologies for underwater channel environments using measurements data
- Authors
- 김민상; 조대영; 박종원; 임용곤; 고학림
- Issue Date
- 12월-2012
- Publisher
- 한국통신학회
- Keywords
- MIMO; Beamforming; Underwater Communications; Diversity; Correlation Coefficient
- Citation
- 한국통신학회지, v.37, no.12, pp 1023 - 1030
- Pages
- 8
- Journal Title
- 한국통신학회지
- Volume
- 37
- Number
- 12
- Start Page
- 1023
- End Page
- 1030
- URI
- https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/9439
- Abstract
- The diversity techniques can benefit underwater acoustic communications when the distance between
sensors is sufficiently apart, and this leads to the increases in the physical size of the
communication system: thus it is very hard to practically use such systems in real-environments.
Therefore, in this paper, we have collected data from real underwater cannel environments in order
to analyze the usability of diversity combined with beamforming techniques. And we have estimated
the fading characteristics from the measurement data, and analyzed the correlation coefficients
using the estimated fading characteristics. After analyzing the estimated fading characteristics
from the measurements data, we found out that by applying diversity techniques on the output
signals from beamformers that perform beamforming from different multipath directions, we can
reduce the distance between sensors and at the same time benefit from the diversity gainractically use such systems in real-environments.
Therefore, in this paper, we have collected data from real underwater cannel environments in order
to analyze the usability of diversity combined with beamforming techniques. And we have estimated
the fading characteristics from the measurement data, and analyzed the correlation coefficients
using the estimated fading characteristics. After analyzing the estimated fading characteristics
from the measurements data, we found out that by applying diversity techniques on the output
signals from beamformers that perform beamforming from different multipath directions, we can
reduce the distance between sensors and at the same time benefit from the diversity gain
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