An Energy-Efficient Signal Detection Scheme for a Radar-Communication System Based on the Generalized Approximate Message-Passing Algorithm and Low-Precision Quantization

Integrated radar-communication systems will play an important role in the future battlefield scenarios by decreasing the interference, volume, weight, and power consumption of equipment and promoting information fusion with an enhanced network. An active electronically scanned array radar system is...

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Vydáno v:IEEE access Ročník 7; s. 29065 - 29075
Hlavní autoři: Xia, De-Ping, Zhang, Yu, Cai, Peixiang, Huang, Ling
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Antenna arrays
Battlefields
Communication
Communications systems
Data integration
energy efficient
GAMP algorithm
Integrated radar-communication system
low-precision quantization algorithm
Measurement
Message passing
Military communications
Military technology
Phased arrays
Power consumption
Quantization (signal)
Radar
Radar antennas
Radar arrays
Radar detection
Radar equipment
Receiving antennas
Signal detection
Transmitting antennas
ISSN:2169-3536, 2169-3536
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Abstract Integrated radar-communication systems will play an important role in the future battlefield scenarios by decreasing the interference, volume, weight, and power consumption of equipment and promoting information fusion with an enhanced network. An active electronically scanned array radar system is ideal for such scenarios. However, a few studies have focused on the modeling and detection of communication signals for such integrated systems. In this paper, an array division strategy is developed, and a low-complexity signal detection scheme based on the generalized approximate message-passing (GAMP) algorithm is implemented. Furthermore, a quantization model is introduced into the output function of the GAMP algorithm. The method effectively provides communication signal detection with low-precision quantization and outperforms the linear minimum mean square error-based algorithm at the same precision levels. Overall, an energy-efficient radar-communication strategy is developed to promote the application of such systems in the future battlefield scenarios.
AbstractList Integrated radar-communication systems will play an important role in the future battlefield scenarios by decreasing the interference, volume, weight, and power consumption of equipment and promoting information fusion with an enhanced network. An active electronically scanned array radar system is ideal for such scenarios. However, a few studies have focused on the modeling and detection of communication signals for such integrated systems. In this paper, an array division strategy is developed, and a low-complexity signal detection scheme based on the generalized approximate message-passing (GAMP) algorithm is implemented. Furthermore, a quantization model is introduced into the output function of the GAMP algorithm. The method effectively provides communication signal detection with low-precision quantization and outperforms the linear minimum mean square error-based algorithm at the same precision levels. Overall, an energy-efficient radar-communication strategy is developed to promote the application of such systems in the future battlefield scenarios.
Author Cai, Peixiang
Xia, De-Ping
Zhang, Yu
Huang, Ling
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SubjectTerms Algorithms
Antenna arrays
Battlefields
Communication
Communications systems
Data integration
energy efficient
GAMP algorithm
Integrated radar-communication system
low-precision quantization algorithm
Measurement
Message passing
Military communications
Military technology
Phased arrays
Power consumption
Quantization (signal)
Radar
Radar antennas
Radar arrays
Radar detection
Radar equipment
Receiving antennas
Signal detection
Transmitting antennas
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Title An Energy-Efficient Signal Detection Scheme for a Radar-Communication System Based on the Generalized Approximate Message-Passing Algorithm and Low-Precision Quantization
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