Effect of Underwater Ambient Noise on Quadraphase Phase-shift Keying Acoustic Sensor Network Links in Extremely Low Frequency Band
(ندگان)پدیدآور
Bahrami, N.Haji Khamis, N. H.Yahya, A.Baharom, A.نوع مدرک
Textزبان مدرک
Englishچکیده
This study evaluates the impact of underwater ambient noise using seven real noise samples; Dolphin, Rain, Ferry, Sonar, Bubbles, Lightning, and Outboard Motor in three frequency ranges in extremely low frequency (ELF) band. The ELF band is the most significant bandwidth for underwater long-range communication. ELF band which is extended from 3 to 3000 Hz clearly, faces bandwidth limitation. Measuring the impact of noises that are imposed on this bandwidth, based on center frequency employment is highly regarded. This measurement optimizes detection process and assists the design of more reliable underwater communication systems and will improve network quality of service (QoS). In this investigation, Quadraphase Phase-shift Keying (QPSK) acoustic communication nodes are designed in MATLAB and real noise samples are added to network link. Three frequency bands are defined (0-1600), (400-2000) and (1600-3200) Hz, then the impact of noise samples on phase is measured. Next, ( ) ratio for every bandwidth (BW) is simulated. The result demonstrates 0 to 1600 Hz band is the nosiest part of the ELF band. This study discovered the Bubble noise sample from the environmental noise; Ferry from man-made noise and the Dolphin in mammal's noise have the greatest impact on 0 to 1600 Hz bandwidth.
کلید واژگان
Underwater sensor networkUnderwater ambient noise
phase
shifting measurement
Underwater channel estimation
Acoustic QPSK link
شماره نشریه
7تاریخ نشر
2017-07-011396-04-10
ناشر
Materials and Energy Research Centerسازمان پدید آورنده
Department of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, MalaysiaDepartment of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Malaysia
Department of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Malaysia
Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
شاپا
1025-24951735-9244




