MRC detection over SIMO OFDM systems in the peresence of phase noise

Authors:
M. Rousta;B. Seyfe
Affiliations:
Department of Electrical Engineering, Shahed University, Tehran, Iran;Department of Electrical Engineering, Shahed University, Tehran, Iran
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 4
Cited 0

Fundamentals of wireless communication

Fundamentals of wireless communication
Orthogonal Frequency Division Multiplexing for Wireless Communications (Signals and Communication Technology)

Orthogonal Frequency Division Multiplexing for Wireless Communications (Signals and Communication Technology)
The Variational Inference Approach to Joint Data Detection and Phase Noise Estimation in OFDM

IEEE Transactions on Signal Processing
Compensation of Phase Noise in OFDM Wireless Systems

IEEE Transactions on Signal Processing

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Abstract

In this paper, we extend the Phase Noise suppression problem to Single Input Multi Output (SIMO) assisted Orthogonal Frequency Division Multiplexing (OFDM) systems, using the concept of Kullback-Leibler divergence (KL divergence) and under the context of Variational Inference approach. Using Maximum Ratio Combining (MRC) receiver for SIMO system, we perform initial point detection improvement on joint estimation of common phase noise and random phase noise by minimizing the KL divergence, over desired unknown parameters. Moreover data detection stage is obtained in parallel, using this structure. MRC is applied for SIMO detection which leads to Signal to Noise Ratio (SNR) enhancement and significant Bit Error Rate (BER) reduction. The comparison which is performed for Single Input Single Output (SISO) and SIMO system, demonstrates the BER improvement.