Joint Hybrid Precoding and Combining Design Based Multi-Stage Compressed Sensing Approach for mmWave MIMO Channel Estimation

Although the design of hybrid precoders and combiners separately from the complete channel state information (CSI) offers satisfactory performance, the resulting spatial multiplexing channel may not always be orthogonal during communication. Also, acquiring CSI to design optimal precoders and combin...

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Vydané v:IEEE access Ročník 11; s. 112398 - 112413
Hlavní autori: Hadji, Baghdad, Aissa-El-Bey, Abdeldjalil, Fergani, Lamya, Djeddou, Mustapha
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Channel estimation
Coherence
Design optimization
Engineering Sciences
equiangular tight frame
Estimation
hybrid mmWave MIMO transceiver
incoherent projection matrix
Iterative methods
joint hybrid precoder and combiner design
Millimeter wave communication
Millimeter waves
Millimeter-wave channel estimation
MIMO communication
multi-stage CS approach
Multiplexing
mutual coherence values
Performance enhancement
Precoding
Radio frequency
Sensors
Signal and Image processing
Hybrid mmWave MIMO
Mutual coherence
Millimeter-wave
Channel estimation
Compress Sensing
Incoherent projection matrix
ISSN:2169-3536, 2169-3536
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Popis
Shrnutí:Although the design of hybrid precoders and combiners separately from the complete channel state information (CSI) offers satisfactory performance, the resulting spatial multiplexing channel may not always be orthogonal during communication. Also, acquiring CSI to design optimal precoders and combiners poses several challenges, particularly in millimeter wave (mmWave) channel estimation, and getting the sensing matrix is equivalent to designing the precoders and combiners. For this, we propose a new iterative method based on alternating minimization to design the optimal sensing matrix (incoherent projection matrix) with the given dictionary to minimize the mutual coherence values (<inline-formula> <tex-math notation="LaTeX">\mu _{mx} </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">\mu _{ave} </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">\mu _{all} </tex-math></inline-formula>) simultaneously according to the equiangular tight frame (ETF) properties for achieving better-compressed sensing (CS) recovery performance. Then, in order to derive the best hybrid precoders and combiners jointly from the optimally designed sensing matrix, we formulate the optimization design problem as the nearest Kronecker product (NKP) problem. The proposed sensing matrix design works better at lowering the mutual coherence values concurrently with the straightforward shrinkage function, according to simulation findings of mutual coherence values evolution versus outer iteration numbers. In comparison to existing codebook-based hybrid precoder/combiner schemes, the proposed joint hybrid precoder and combiner design improves the performance of the simulation results obtained by multi-stage CS-based mmWave channel estimation in terms of channel estimation accuracy and spectral efficiency (SE).
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3322658