首页|Multi-stream signals separation based on space-time-isomeric(SPATIO)array using metasurface antennas

Multi-stream signals separation based on space-time-isomeric(SPATIO)array using metasurface antennas

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In spatial domain signal processing,it is necessary to equip more antennas at the receiver to improve spatial demultiplexing capability.However,increasing the number of antennas under restricted space will reduce antenna spacing and raise the channel correlation,making the number of signal streams spatially demultiplexed much smaller than that of antennas.This paper proposes a method to design a space-time-isomeric(SPATIO)array based on metasurface antennas under wireless multipath conditions.Each antenna in this array has a different pattern and varies independently with time,reducing the channel correlation by superposing multipath at distinct positions and moments.Based on the SPATIO array,we present an array parameter design scheme based on infinity norm minimization,which can maximize the received energy of each stream while separating multi-stream received signals.Simulation results illustrate the performance of the SPATIO array for multi-stream signal reception.Compared with conventional multiple-input multiple-output arrays,the proposed array can reduce the bit error rate by one order of magnitude under the same simulation conditions.

multiple-input multiple-outputmetasurface antennaspace-time-isomeric arraymultipath channeldegree of freedom

Yangming LOU、Liang JIN、Huiming WANG、Zhou ZHONG、Junyan DAI

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PLA Strategic Support Force Information Engineering University,Zhengzhou 450001,China

School of Information and Communications Engineering,Xi'an Jiaotong University,Xi'an 710049,China

State Key Laboratory of Millimeter Waves,Southeast University,Nanjing 210096,China

Program of Song Shan Laboratory(included in the Management of the Major Science and Technology Program of Henan Province)Program of Song Shan Laboratory(included in the Management of the Major Science and Technology Program of Henan Province)National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

221100211300-01221100211300-03U22A20016220113962171364

2024

10.1007/s11432-023-3788-y

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子：0.715
ISSN：1674-733X
年,卷(期)：2024.67(2)
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