Single RF Channel Digital Beamforming Array Antenna Based on Compressed Sensing for Large-Scale Antenna Applications
Single RF Channel Digital Beamforming Array Antenna Based on Compressed Sensing for Large-Scale Antenna Applications
复制标题
基于压缩感知的单射频通道数字波束成形阵列天线，适用于大规模天线应用
DOI：
10.1109/access.2018.2800399
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发表时间：
2018
期刊：
影响因子：
3.9
通讯作者：
Dagang Fang
中科院分区：
文献类型：
--
作者：
Duo Zhang;Jindong Zhang;Cui Can;Wen Wu;Dagang Fang
提出了一种基于压缩感知（CS）的单射频（RF）通道数字波束成形（DBF）阵列天线，以降低大规模DBF系统的硬件成本、功耗和设计复杂度。对于 DBF 天线系统，获取每个传感器接收到的信号的一般方法是将每个传感器连接到独立的 RF 接收器通道。当阵列包含大量传感器时，多通道信号采样方案使系统耗电且昂贵。时序相位加权(TSPW)技术为这一问题提供了解决方案。 TSPW天线阵列通过对TSPW阵列产生的特定单通道信号进行顺序采样，仅用一个射频接收通道即可获得每个传感器接收到的信号。然而，单通道样本的数量与传感器的数量成线性比例。当阵列包含大量传感器时，采样时间将太长而无法接受。为了克服这个问题，我们将CS理论引入到TSPW阵列中。借助CS，可以在时间和空间域上同时降低采样频率，这对应于样本和传感器数量的减少。已经提出了理论分析来表明成功重建应满足的条件。对孔径尺寸为$80\lambda$的X波段阵列在信噪比为15 dB下以及六个目标场景下的仿真结果表明，与传统的TSPW阵列相比，该阵列可以节省63.1%以上的传感器数量和84.4%以上的采样时间。
A single radio frequency (RF) channel digital beamforming (DBF) array antenna based on compressed sensing (CS) was proposed to reduce the hardware costs, power consumption, and the design complexity of large-scale DBF systems. For DBF antenna systems, the general way to obtain the signals received by each sensor is to connect each sensor to an independent RF receiver channel. When the array contains a large number of sensors, the multichannel signal sampling scheme makes the system power hungry and expensive. A time sequence phase weighting (TSPW) technology provides a solution to this problem. The TSPW antenna array can obtain the signals received by each sensor with only one RF receiver channel by sequentially sampling the specific single channel signals, which are produced by the TSPW array. However, the number of single channel samples scales linearly with the number of sensors. The sampling time will be so long as to be unacceptable when the array contains a large number of sensors. To overcome this problem, we introduced CS theory to the TSPW array. With the help of CS, the sampling frequency can be simultaneously reduced in both time and spatial domain, which correspond to the reduction of the number of both the samples and sensors. Theoretical analyses have been proposed to show the conditions that should be met for successful reconstruction. The simulation results from an X-band array with an aperture size of $80\lambda $ under the signal-to-noise ratio of 15 dB and the scenario of six targets showed that the proposed array could save above 63.1% of sensor numbers and above 84.4% in sampling time when compared with those of conventional TSPW arrays.
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影响因子：
4.2
作者：
Jindong Zhang;Wen Wu;D. Fang
通讯作者：
Jindong Zhang;Wen Wu;D. Fang
DOI：
10.1109/ssp.2009.5278497
发表时间：
2009-10
期刊：
2009 IEEE/SP 15th Workshop on Statistical Signal Processing
影响因子：
--
作者：
Ying Wang;G. Leus;A. Pandharipande
通讯作者：
Ying Wang;G. Leus;A. Pandharipande
影响因子：
3.9
作者：
Y. Zakharov;V. Nascimento;R. C. de Lamare;Fernando Goncalves De Almeida Neto
通讯作者：
Y. Zakharov;V. Nascimento;R. C. de Lamare;Fernando Goncalves De Almeida Neto
DOI：
10.3724/sp.j.1146.2011.01407
发表时间：
2013-07
期刊：
Journal of Electronics Information & Technology
影响因子：
--
作者：
Hongtao Li;Ya.Peng. He;Yacheng Xiao;Xiao-hua Zhu
通讯作者：
Hongtao Li;Ya.Peng. He;Yacheng Xiao;Xiao-hua Zhu
DOI：
10.1109/benmas.2014.7529468
发表时间：
2014-09
期刊：
2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Sub-systems for Radar, Telecommunications, and Biomedical Applications (BenMAS)
影响因子：
--
作者：
Si Qin;Yimin D. Zhang;M. Amin
通讯作者：
Si Qin;Yimin D. Zhang;M. Amin