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

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.

[1]  Jun Tang,et al.  Improved DOA estimation algorithm for co-prime linear arrays using root-MUSIC algorithm , 2017 .

[2]  Ahmet M. Elbir,et al.  L-shaped coprime array structures for DOA estimation , 2020, Multidimens. Syst. Signal Process..

[3]  Pengfei Xia,et al.  Channel Estimation and Hybrid Precoding for Millimeter-Wave MIMO Systems: A Low-Complexity Overall Solution , 2017, IEEE Access.

[4]  P. P. Vaidyanathan,et al.  Theory of Sparse Coprime Sensing in Multiple Dimensions , 2011, IEEE Transactions on Signal Processing.

[5]  Libiao Jin,et al.  Two-dimensional Channel Estimation for Millimeter-wave MIMO Systems with Hybrid Precoding , 2018 .

[6]  Chia-Chang Hu,et al.  Hybrid precoding design for adaptive subarrays in millimeter-wave MIMO , 2017, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

[7]  Geoffrey Ye Li,et al.  Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems , 2018, IEEE Wireless Communications Letters.

[8]  Ying-Chang Liang,et al.  The SMART Handoff Policy for Millimeter Wave Heterogeneous Cellular Networks , 2018, IEEE Transactions on Mobile Computing.

[9]  Chen Hu,et al.  Knowledge-Aided Deep Learning for Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems , 2019, ArXiv.

[10]  Upamanyu Madhow,et al.  Compressive Channel Estimation and Tracking for Large Arrays in mm-Wave Picocells , 2015, IEEE Journal of Selected Topics in Signal Processing.

[11]  Bin Gao,et al.  A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays , 2016, Sensors.

[12]  Peng Lan,et al.  Partial spectral search-based DOA estimation method for co-prime linear arrays , 2015 .

[13]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[14]  Robert W. Heath,et al.  Spatially Sparse Precoding in Millimeter Wave MIMO Systems , 2013, IEEE Transactions on Wireless Communications.

[15]  Wei Zhang,et al.  Joint Transmission and Reception Diversity Smoothing for Direction Finding of Coherent Targets in MIMO Radar , 2014, IEEE Journal of Selected Topics in Signal Processing.

[16]  Kei Sakaguchi,et al.  Global standards enabling a 5th Generation Communications system architecture vision , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[17]  Gang Feng,et al.  Cell Association With User Behavior Awareness in Heterogeneous Cellular Networks , 2018, IEEE Transactions on Vehicular Technology.

[18]  P. P. Vaidyanathan,et al.  Sparse Sensing With Co-Prime Samplers and Arrays , 2011, IEEE Transactions on Signal Processing.

[19]  Robert W. Heath,et al.  Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems , 2014, IEEE Journal of Selected Topics in Signal Processing.

[20]  Xiaojing Huang,et al.  A Hybrid Adaptive Antenna Array for Long-Range mm-Wave Communications [Antenna Applications Corner] , 2012, IEEE Antennas and Propagation Magazine.

[21]  Jun Fang,et al.  Super-Resolution Channel Estimation for MmWave Massive MIMO With Hybrid Precoding , 2017, IEEE Transactions on Vehicular Technology.

[22]  Junho Lee,et al.  Exploiting spatial sparsity for estimating channels of hybrid MIMO systems in millimeter wave communications , 2014, 2014 IEEE Global Communications Conference.

[23]  Ada S. Y. Poon,et al.  Coding the Beams: Improving Beamforming Training in mmWave Communication System , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[24]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[25]  Moeness G. Amin,et al.  DOA Estimation Exploiting Moving Dilated Nested Arrays , 2019, IEEE Signal Processing Letters.

[26]  Robert W. Heath,et al.  Channel estimation in millimeter wave MIMO systems with one-bit quantization , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[27]  Vincent K. N. Lau,et al.  Phase Only RF Precoding for Massive MIMO Systems With Limited RF Chains , 2014, IEEE Transactions on Signal Processing.

[28]  Junho Lee,et al.  Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications , 2016, IEEE Transactions on Communications.

[29]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[30]  Zheng Liu,et al.  Direction finding with automatic pairing for bistatic MIMO radar , 2012, Signal Process..

[31]  Lei Zhang,et al.  Blockchain-Enabled Wireless Internet of Things: Performance Analysis and Optimal Communication Node Deployment , 2019, IEEE Internet of Things Journal.

[32]  Robert W. Heath,et al.  Auxiliary Beam Pair Enabled AoD and AoA Estimation in Closed-Loop Large-Scale Millimeter-Wave MIMO Systems , 2017, IEEE Transactions on Wireless Communications.

[33]  Xuemin Shen,et al.  DECOM: DOA estimation with combined MUSIC for coprime array , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[34]  Bhaskar D. Rao,et al.  Performance analysis of Root-Music , 1989, IEEE Trans. Acoust. Speech Signal Process..

[35]  Theodore S. Rappaport,et al.  Millimeter Wave Wireless Communications , 2014 .