Estimation of multipath parameters in wireless communications using multi-way compressive sensing

查看全文 作　　者：Fangqing [1,2]Wen;Gong [1,2]Zhang;De [1,2,3]Ben

机构地区：[1]College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics;[2]Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education;[3]Nanjing Research Institute of Electronics Technology

出　　处：《Journal of Systems Science & Complexity》索引2015年第28卷第5期,共8页

基　　金：supported by the National Natural Science Foundation of China(61071163;61271327;61471191);the Fundamental Research Funds for the Central Universities(NP2015504);the Jiangsu Innovation Program for Graduate Education(KYLX 0277);the Priority Academic Program Development of Jiangsu Higher Education Institutions(PADA);the Funding for Outstanding Doctoral Dissertation in NUAA(BCXJ14-08) 摘　　要：This paper addresses the problem of joint angle and delay estimation(JADE) in a multipath communication scenario. A low-complexity multi-way compressive sensing(MCS) estimation algorithm is proposed. The received data are firstly stacked up to a trilinear tensor model. To reduce the computational complexity,three random compression matrices are individually used to reduce each tensor to a much smaller one. JADE then is linked to a low-dimensional trilinear model. Our algorithm has an estimation performance very close to that of the parallel factor analysis(PARAFAC) algorithm and automatic pairing of the two parameter sets. Compared with other methods, such as multiple signal classification(MUSIC), the estimation of signal parameters via rotational invariance techniques(ESPRIT), the MCS algorithm requires neither eigenvalue decomposition of the received signal covariance matrix nor spectral peak searching. It also does not require the channel fading information, which means the proposed algorithm is blind and robust, therefore it has a higher working efficiency.Simulation results indicate the proposed algorithm have a bright future in wireless communications. 关键词：信号参数估计无线通信压缩多径多重信号分类法估计算法三线性张量感知

相关文献

参考文献（34）
引证文献（3）
耦合文献（19）

参考文献(34)

引证文献(3)

耦合文献(19)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Estimation of multipath parameters in wireless communications using multi-way compressive sensing

参考文献(34)

引证文献(3)

耦合文献(19)

用户提示