تقرير
Single Carrier Frequency Domain Detectors for Internet of Underwater Things
| العنوان: | Single Carrier Frequency Domain Detectors for Internet of Underwater Things |
|---|---|
| المؤلفون: | Aljanabi, Amer, Alluhaibi, Osama, Ahmed, Qasim Z., Khan, Fahd A., Waqas-Bin-Abbas, Lazaridis, Pavlos I. |
| المصدر: | Wireless Personal Communications 2022 |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science Mathematics |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Signal Processing, Computer Science - Information Theory, Computer Science - Performance |
| الوصف: | This paper proposes low complexity detection for internet of underwater things (IoUT)s communication. The signal is transmitted from the source to the destination using several sensors. To simplify the computational operations at the transmitter and the sensory nodes, a single carrier frequency domain equalizer (SC-FDE) is proposed and amplify-and-forward (AF) protocols are employed. Fast Fourier transform (FFT) and use of cyclic prefix (CP) are also proposed to simplify these algorithms when compared to time-domain equalization. As precise channel data is difficult to capture in underwater communications, the adaptive implementation of FDE is proposed as a solution that can be employed when the channel experiences a fast doppler shift. The two adaptive detectors are based on the least mean-square (LMS) and recursive least square (RLS) principles. Numerical simulations show that the performance of the bit error rate (BER) performance of the proposed detectors is close to that of the ideal minimum mean square error (MMSE). |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2203.12599 |
| رقم الأكسشن: | edsarx.2203.12599 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |