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Low-Complexity Optimal Estimation of MIMO ISI Channels with Binary Training Sequences
 

Summary: 1
Low-Complexity Optimal Estimation of MIMO
ISI Channels with Binary Training Sequences
Shuangquan Wang, Student Member, IEEE, and Ali Abdi, Member, IEEE
Abstract
In this letter, a novel low-complexity optimal channel estimator using uncorrelated periodic com-
plementary sets of binary sequences is proposed for multiple-input multiple-output (MIMO) intersymbol
interference (ISI) channels. The estimator is optimal since it attains the minimum possible Cram´er-Rao
lower bound (CRLB). Moreover, it can be implemented with very low complexity via ASIC/FPGA,
which makes it suitable and ready for practical MIMO systems.
Index Terms
MIMO, Uncorrelated Complementary Sets, ISI, Channel Estimation, Frequency-Selective Channel.
I. INTRODUCTION
For quasi-static or slowly-varying fading channels, training-based channel estimation has been widely
used [1]. Some information theoretical guidelines for training sequence design over MIMO intersymbol
interference (ISI)1
channels are given in [2]. However, the sequences given in [2] may result in high
peak-to-average power ratios (PAPR), which normally should be avoided in practice.
To overcome the above PAPR difficulty, an optimal training-based channel estimator was proposed in
[3] using uncorrelated aperiodic complementary sets of binary sequences, where the guard period between

  

Source: Abdi, Ali - Department of Electrical and Computer Engineering, New Jersey Institute of Technology

 

Collections: Engineering