JOURNAL ARTICLE

Codebook-Aided DOA Estimation Algorithms for Massive MIMO System

Shufeng LiHongda WuLibiao Jin

Year: 2018 Journal:   Electronics Vol: 8 (1)Pages: 26-26   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

The conventional direction of arrival (DOA) estimation algorithm is not effective with the tremendous complexity due to the large-scale array antennas in a massive multiple-input multiple-output (MIMO) system. A new frame structure for downlink transmission is presented. Then, codebook-aided (C-aided) algorithms are proposed based on this frame structure that can fully exploit the priori information under channel codebook feedback mechanism. An oriented angle range is scoped through the codebook feedback, which is drastically beneficial to reduce computational burden for DOA estimation in massive MIMO systemss. Compared with traditional DOA estimation algorithms, our proposed C-aided algorithms are computationally efficient and meet the demand of future green communication. Simulations show the estimation effectiveness of C-aided algorithms and advantage for decrement of computational cost.

Keywords:
Codebook Computer science Telecommunications link MIMO Algorithm A priori and a posteriori Transmission (telecommunications) Computational complexity theory Frame (networking) Exploit Precoding Channel (broadcasting) Computer engineering Telecommunications

Metrics

8
Cited By
0.72
FWCI (Field Weighted Citation Impact)
27
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Direction-of-Arrival Estimation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Antenna Design and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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