Channel estimation based on the PSS-MUSIC for millimeter-wave MIMO systems equipped with co-prime arrays

被引:3
作者
Li, Shufeng [1 ]
Cao, Guangjing [1 ]
Jin, Libiao [1 ]
Wu, Hongda [2 ]
机构
[1] Commun Univ China, Sch Informat & Telecommun Engn, Beijing 100024, Peoples R China
[2] York Univ, Dept Elect Engn & Comp Sci, Toronto, ON, Canada
关键词
Millimeter-wave MIMO communications; Two-dimensional channel estimation; Co-prime arrays; Uniform arrays; PERFORMANCE ANALYSIS; LOW-COMPLEXITY; MASSIVE MIMO; ESPRIT;
D O I
10.1186/s13638-020-1637-4
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
The millimeter-wave channel estimation problem can be solved by estimating the path directions and the path gains. The previous schemes are nearly all based on the uniform linear arrays (ULAs). However, compared with the ULAs, the co-prime array can use fewer array elements to realize larger array aperture, which is beneficial to improve the performance of arrival direction estimation contributing to the estimation performance of angle of arrival (AOA) and angle of departures (AOD). Encouraged by the property of co-prime arrays, a novel channel estimation scheme is proposed for two-dimensional (2-d) co-prime arrays. For each path direction, multiple peaks are generated in the spatial spectrum of each subarray and by selecting over any limited sector to search for an arbitrary peak, which can recover the rest peaks. Then by comparing the peaks of the two subarrays, the common peaks are the correct path direction. Compared with the total-spectrum search (TSS) method, this method effectively reduces the complexity. Simulation results show that the proposed algorithm can reduce the computational complexity and maintain accurate channel estimation.
引用
收藏
页数:11
相关论文
共 34 条
  • [1] Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
    Alkhateeb, Ahmed
    El Ayach, Omar
    Leus, Geert
    Heath, Robert W., Jr.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2014, 8 (05) : 831 - 846
  • [2] [Anonymous], 2014, MILLIMETER WAVE WIRE
  • [3] Optimal Multi-Base-Station Selection for Belt-Area Wireless Sensor Networks
    Duan, Zhangling
    Wei, Xing
    Han, Jianghong
    Yang, Guoqiang
    Lu, Yang
    [J]. IEEE ACCESS, 2019, 7 : 157085 - 157102
  • [4] Spatially Sparse Precoding in Millimeter Wave MIMO Systems
    El Ayach, Omar
    Rajagopal, Sridhar
    Abu-Surra, Shadi
    Pi, Zhouyue
    Heath, Robert W., Jr.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (03) : 1499 - 1513
  • [5] Elbir A M, 2019, MULTIDIMENSIONAL SYS, P1
  • [6] A Hybrid Adaptive Antenna Array for Long-Range mm-Wave Communications
    Guo, Y. Jay
    Huang, Xiaojing
    Dyadyuk, Val
    [J]. IEEE ANTENNAS AND PROPAGATION MAGAZINE, 2012, 54 (02) : 270 - 281
  • [7] Hu C, 2017, 2017 IEEE 6 GLOB C C, P24
  • [8] Super-Resolution Channel Estimation for MmWave Massive MIMO With Hybrid Precoding
    Hu, Chen
    Dai, Linglong
    Mir, Talha
    Gao, Zhen
    Fang, Jun
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (09) : 8954 - 8958
  • [9] Lee J, 2014, IEEE GLOB COMM CONF, P3326, DOI 10.1109/GLOCOM.2014.7037320
  • [10] Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications
    Lee, Junho
    Gil, Gye-Tae
    Lee, Yong H.
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2016, 64 (06) : 2370 - 2386