Spatio-temporal scheduling of complementary sequences with application to MIMO-OFDM

Author

Lau, Chad ; Zoltowski, Michael ; Calderbank, Robert

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

2009

fDate

1-4 Nov. 2009

Firstpage

503

Lastpage

507

Abstract

In this paper, a new method of space-time processing is proposed for Orthogonal Frequency Division Multiplexing (OFDM) using complementary sequences derived from the rows of the DFT matrix. The autocorrelative properties of the complementary sequences allows multiple complex data signals at the transmitter with an arbitrary number of antennas to be perfectly separated at the receiver without prior channel knowledge while achieving full-rate. This new method is proposed and derived for multiple MIMO-OFDM systems with multipath fading; at the receiver, symbol estimation is effected via maximum likelhihood estimation (ML).

Keywords

MIMO systems; OFDM modulation; discrete Fourier transforms; fading channels; matrix algebra; maximum likelihood estimation; multipath channels; scheduling; DFT matrix; autocorrelative property; channel knowledge; complementary sequences; maximum likelhihood estimation; multipath fading; multiple MIMO-OFDM systems; multiple complex data signals; orthogonal frequency division multiplexing; space-time processing; spatio-temporal scheduling; symbol estimation; Autocorrelation; Discrete Fourier transforms; Intersymbol interference; Matched filters; OFDM; Rayleigh channels; Receiving antennas; Slot antennas; Transmitters; Transmitting antennas; Discrete Fourier Transforms; MIMO systems; matched filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

978-1-4244-5825-7

Type

conf

DOI

10.1109/ACSSC.2009.5469876

Filename

5469876