JOURNAL ARTICLE

Blind channel estimation for MIMO-OFDM systems using virtual carriers

Abstract

Multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems are attractive because of their large capacity and high data rate. The paper presents a blind channel estimation method for MIMO-OFDM systems with and without a cyclic prefix (CP) by using the presence of virtual carriers. The proposed method is based on the noise subspace method. In addition, we establish a sufficient condition for channels to be identifiable. The proposed algorithm can be applied to MIMO-OFDM systems with insufficient CP or no CP, thereby potentially increasing channel utilization. Furthermore, by using reduced CP or no CP, the proposed method can achieve lower computational complexity. We present simulation results demonstrating the performance of the proposed method via numerical experiments.

Keywords:
Cyclic prefix Orthogonal frequency-division multiplexing MIMO-OFDM MIMO Computer science Channel (broadcasting) Interference (communication) Subspace topology Multi-user MIMO Algorithm Computational complexity theory Electronic engineering Telecommunications Engineering Artificial intelligence

Metrics

22
Cited By
5.16
FWCI (Field Weighted Citation Impact)
14
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
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