超大规模MIMO-OTFS系统上行辅助的下行信道估计方法

doi:10.11959/j.issn.2096-3750.2023.00351

Abstract

Abstract:

A low complexity downlink channel estimation method for high-speed mobile scenarios was proposed for the extra-large scale multiple-input multiple-output (MIMO) orthogonal time-frequency space (OTFS) system.Different from the existing studies, the proposed method considers the significant spatial non-stationary characteristics of extra-large scale MIMO-OTFS system.Based on the visible path region, an enhanced sparse orthogonal matching pursuit (OMP) algorithm with low complexity was proposed, uplink-assisted downlink channel estimation was achieved using the mapping relationship between the uplink and downlink channels in the frequency-division duplex (FDD) mode.Simulation results show that the proposed uplink-assisted downlink channel estimation method can accurately represent the non-stationary of the system, and achieve significant improvement in the channel estimation performance while reducing the computational complexity , and still perform well in high-mobility IoT scenarios.

Key words: IoT, orthogonal time frequency space modulation, extra-large scale MIMO, frequency division duplex, channel estimation

CLC Number:

TN929.5

Xumin PU, Kaiyuan DENG, Qianbin CHEN. Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system[J]. Chinese Journal on Internet of Things, 2023, 7(4): 28-38.

Figures/Tables 8

所用算法	计算复杂度
LS算法	$O ((γ_{2} (l_{D})_{p})^{3} + (γ_{2} (l_{D})_{p})^{2} (2 (γ_{1} (n_{D})_{p} - 1)$
	$+ 1 + 2 γ_{3} M / S) + 2 γ_{3} M /$
	$S γ_{2} (l_{D})_{p} (γ_{1} (n_{D})_{p} - 1) + γ_{2} (l_{D})_{p})$
传统OMP算法	$O (P (l_{D})_{p} (n_{D})_{p} γ_{1} N_{D} γ_{2} L_{D} γ_{3} M)$
增强型稀疏OMP算法	$O (L_{s} (l_{D})_{p} (n_{D})_{p} γ_{1} N_{D} γ_{2} L_{D} γ_{3} M / S)$

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信道参数	数值
天线数目M	512
时延域网格维度L _D	512
多普勒域网格维度N _D	128
载波频率 f_c/GHz	5
采样周期T_s/µs	1/20
子载波间隔Δf /kHz	75
上下行频差ΔF/MHz	60
方位角θ_k	[π2,π2)
子阵列数目S	16

Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system

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