TY - GEN
T1 - Fully cognitive transceiver for High Frequency (HF) applications
AU - Teku, Noel
AU - Asadi, Hamed
AU - Bose, Tamal
AU - Marefat, Michael
N1 - Funding Information:
This project was partially supported by the Broadband Wireless Access and Applications Center (BWAC); NSF Award No. 1265960.
Publisher Copyright:
© 2019 SPIE.
PY - 2019
Y1 - 2019
N2 - Ionospheric conditions are variable in nature and can cause destructive interference to transmissions made in the High Frequency (HF) band, which ranges from 3-30 MHz. This poses a problem as the HF band is a critical fre-quency range for various applications (i.e. emergency, military). To manage these dynamic conditions, intelligent techniques should be implemented at the transmitter and receiver to properly maintain reliable communications. In this paper, we present work deriving components of a cognitive HF transceiver with agents called cognitive engines (CEs) operating at the transmitter and receiver. At the transmitter, cognition is employed to determine the combination of modulation and coding techniques that maximize throughput. At the receiver, cognition is implemented to derive the best parameters for equalization (i.e. tap length, step size, filter type, etc.) Results are presented showing that the individual components are able to satisfy their objectives. A discussion is also provided surveying recent research efforts pertaining to the development of cognitive methods for the Automatic Link Establishment (ALE) protocol, a common networking methodology for HF stations.
AB - Ionospheric conditions are variable in nature and can cause destructive interference to transmissions made in the High Frequency (HF) band, which ranges from 3-30 MHz. This poses a problem as the HF band is a critical fre-quency range for various applications (i.e. emergency, military). To manage these dynamic conditions, intelligent techniques should be implemented at the transmitter and receiver to properly maintain reliable communications. In this paper, we present work deriving components of a cognitive HF transceiver with agents called cognitive engines (CEs) operating at the transmitter and receiver. At the transmitter, cognition is employed to determine the combination of modulation and coding techniques that maximize throughput. At the receiver, cognition is implemented to derive the best parameters for equalization (i.e. tap length, step size, filter type, etc.) Results are presented showing that the individual components are able to satisfy their objectives. A discussion is also provided surveying recent research efforts pertaining to the development of cognitive methods for the Automatic Link Establishment (ALE) protocol, a common networking methodology for HF stations.
KW - Cognitive Engine
KW - Equalization
KW - HF
KW - Ionosphere
KW - Reinforcement Learning
UR - http://www.scopus.com/inward/record.url?scp=85073905487&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073905487&partnerID=8YFLogxK
U2 - 10.1117/12.2515407
DO - 10.1117/12.2515407
M3 - Conference contribution
AN - SCOPUS:85073905487
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2018
A2 - Suresh, Raja
PB - SPIE
T2 - 24th Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation Conference 2018
Y2 - 16 April 2019 through 18 April 2019
ER -