Title:

Exact Analysis of MIMO Channel Estimation Based on Superimposed Training, Journal of Telecommunications and Information Technology, 2024, nr 2

Group publication title:

2024, nr 2, JTIT-artykuły

Creator:

Addad, Mouad ; Toaba, Hanane Meriem ; Djebbari, Ali

Subject and Keywords:

channel estimation ; DC offset ; MIMO channel ; superimposed training ; ZCZ sequences

Abstrakt:

In this paper, channel estimation capabilities of a multiple-input multiple-output (MIMO) system using superimposed training sequences are investigated. A new expression for estimation-error variance is derived. It is shown that the training sequences must be balanced and must have specific correlation properties. The latter are required only in a specific zone. Sequences that satisfy these criteria exist and are referred to as zero-correlation zone (ZCZ) solutions. Consequently, by using balanced ZCZ sequences, harmful direct current (DC) offset can be removed. Owing to their zero-cross correlation, interference from other transmitting antennas may be eliminated. Furthermore, a closed-form expression of the estimation-error variance can be obtained due to their impulse-like autocorrelation. To increase the number of antennas in the MIMO system, a new construction of ZCZ sequence set is proposed, in which all sequences are balanced.

Number:

2

Publisher:

National Institute of Telecommunications

Date:

2024

Resource Type:

artykuł

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2024.2.1557

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

License:

CC BY 4.0

rights owner:

Instytut Łączności - Państwowy Instytut Badawczy