Asymptotically optimal low-complexity single-carrier frequency-domain equalizer with time-domain noise prediction in data-like co-channel interference

ICTC 2011 ◽  
2011 ◽  
Author(s):  
Minuk Kim ◽  
Joon Ho Cho
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Carrier Frequency ◽  
Low Complexity ◽  
Noise Prediction ◽  
Asymptotically Optimal ◽  
Single Carrier ◽  
Channel Interference

scholarly journals Low Complexity Single Carrier Frequency Domain Detectors for Internet of Underwater Things (IoUT)s

2021 ◽  
Author(s):  
Amer Aljanabi ◽  
Osama Alluhaibi ◽  
Qasim Zeeshan Zeeshan Ahmed ◽  
Fahd Ahmed Khan ◽  
Waqas Bin Abbas ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Carrier Frequency ◽  
Minimum Mean Square Error ◽  
Low Complexity ◽  
Least Square ◽  
Mean Square ◽  
Least Mean Square ◽  
Recursive Least Square ◽  
Amplify And Forward ◽  
Single Carrier

Abstract 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).

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