DNN-based interference mitigation beamformer

被引:4
作者
Ramezanpour, Parham [1 ]
Mosavi, Mohammad Reza [1 ]
机构
[1] Iran Univ Sci & Technol, Dept Elect Engn, Tehran 1684613114, Iran
关键词
radiofrequency interference; neural nets; array signal processing; direction-of-arrival estimation; least mean squares methods; antenna arrays; covariance matrices; interference suppression; telecommunication computing; DNN-based interference mitigation beamformer; beamforming; antenna array signal processing; high-directional gain; DoA; directional gain pattern; complex weight vector; received signal vector; optimum weight vector; minimum mean squared error; minimum variance distortion; deep-neural-network-based beamformer; neural beamformer; interference estimator; signal estimator; output signal; input signal-to-noise ratio; noise figure 10; 0; dB; noise figure 34; noise figure-10; ALGORITHM; DESIGN;
D O I
10.1049/iet-rsn.2020.0234
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In classical beamforming techniques such as minimum mean squared error and minimum variance distortion-less response, for computing optimum weight vector of an antenna array, direction of arrival (DoA) of desired signal should be known as prior knowledge. In this study, a deep neural-network-based beamformer is proposed for estimating the desired signal in presence of noise and interference without requiring prior knowledge on the DoA of the desired signal. In the proposed beamformer, a bidirectional long short-term memory (bi-LSTM) is employed for estimating samples of interferences. On the other hand, samples of the desired signal are estimated by either another bi-LSTM or a convolutional neural network. The signal to interference and noise ratio (SINR) at the output of the proposed beamformer is 10 dB higher than the SINR at the output of the classical beamformers when the number of available snapshots is as low as 100. The proposed beamformer has promising performance when the input interference to signal ratio is as high as 34 dB and the input signal-to-noise ratio is as low as -10 dB.
引用
收藏
页码:1788 / 1794
页数:7
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