
Int. J. Communications, Network and System Sciences, 2010, 3, 593-601 
doi:10.4236/ijcns.2010.37079 Published Online July 2010 (http://www.SciRP.org/journal/ijcns/). 
Copyright © 2010 SciRes.                                                                                IJCNS 
Design and Analysis of a Multiple-Input Receiver for Mimo 
Wireless Applications 
Constantinos Votis, Panos Kostarakis 
Physics Department, University of Ioannina, Panepistimioupolis, Ioannina, Greece 
E-mail: kvotis@grads.uoi.gr, kostarakis@uoi.gr 
Received April 21, 2010; revised May 28, 2010; accepted July 1, 2010 
Abstract 
 
In this article, we present multiple-input receiver architecture for (Multiple-Input Multiple-Output) MIMO 
wireless communication applications. The proposed implementation is provided by a defined number of 
identical receiver units that are fed by a RF modulated signal on specific carrier frequency, power strength 
and initial phase. These units carry out the corresponding amplification, filtering and demodulation proce-
dures. Details on design and implementation of this Printed-Circuit-Board are introduced and further dis-
cussed. Experimental results are also presented, allowing the validation of investigation on the performance 
of the current receiver architecture. Besides, these measurements indicate that the proposed device, combin-
ing with a suitable antenna array, provides a versatile receiver platform for baseband signal processing. The 
incoming RF modulated signals have frequencies on the range of 2.4 GHz, several phases, magnitudes and 
modulation modes. From these, it seems that the proposed receiver implementation supports MIMO commu-
nication and multiple port channel characterization applications at 2.4 GHz ISM (Industrial, Scientific and 
Medical) band. 
 
Keywords: Channel Sounder, MIMO Systems, Baseband Processing 
1. Introduction 
Modern wireless communication systems continue to 
push for wider bandwidth capabilities, higher data rates 
and better quality of services. Scientific and engineering 
community provides a number of novel techniques and 
methods to meet these requirements. One of them is 
called Multiple-Input Multiple-Output (MIMO) archi-
tecture that could exploit the capacity of a wireless com- 
munication channel [1-3]. Using multiple antenna ele-
ments on both the transmitter and receiver ends offers 
significant capacity enhancement on radio propagation 
applications. In order to achieve this benefit, appropriate 
design aspects on such systems have to be taken into 
account. It is obvious that a receiver device with multiple 
input ports is mainly required. Furthermore, appropriate 
synchronization and data acquisition procedures have to 
be supported by this device in order to collect and record 
the data transmission streams from each sub-channel at 
any scattering radio propagation environment. 
The efficiency of such systems depends on several 
performance and channel parameters. One of them is 
referred to the profound knowledge of the time-variant 
radio channel in various indoor or outdoor environments. 
Devices that could provide knowledge of the wireless 
channel status are referred as channel sounding systems. 
Furthermore, several multiplexing techniques are applied 
to these systems for channel estimation purposes. Time, 
frequency, code division multiplexing and hybrid meth-
ods are mainly used in these applications [4,5]. Generally, 
these devices improve MIMO system performance and 
offer crucial assumptions that provide a resource for 
channel model developments. 
In addition, the hardware is crucial for the perform-
ance of such MIMO systems. Resolution accuracy and 
capability are dominated by the corresponding strategy 
adopted for the channel sounder and communication ap-
plications. In particular, the choice of the receiver archi-
tecture indicates the method of channel acquisition and 
estimation, as well as the efficiency of the MIMO com-
munication system. More precisely, fully switched, semi- 
switched and parallel transmission are the main tech-
niques that supports channel characterization applica-
tions, using one or a combination of the multiplexing 
methods (TDM, FDM, CDM), each with different ad-
vantages and drawbacks. 
These methods also support MIMO communication 
systems, providing transmit and receive diversity and