Low-complexity optimal estimation of MIMO ISI channels with binary training sequences

Authors

Shuangquan Wang, Newark College of Engineering
Ali Abdi, Newark College of Engineering

Document Type

Article

Publication Date

11-1-2006

Abstract

In this letter, a novel low-complexity optimal channel estimator using uncorrelated periodic complementary 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 Cramér-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. © 2006 IEEE.

Identifier

33750111612 (Scopus)

Publication Title

IEEE Signal Processing Letters

External Full Text Location

https://doi.org/10.1109/LSP.2006.876344

ISSN

10709908

First Page

657

Last Page

660

Issue

11

Volume

13

Recommended Citation

Wang, Shuangquan and Abdi, Ali, "Low-complexity optimal estimation of MIMO ISI channels with binary training sequences" (2006). Faculty Publications. 18739.
https://digitalcommons.njit.edu/fac_pubs/18739