Author_Institution :
Sch. of Eng. & Comput. Sci., Univ. of Durham, Durham, UK
Abstract :
Summary form only given. Over the last decade, the desire for increased data rate and efficient spectrum utilisation in wireless communication systems has evolved the basic single-input single-output (SISO) communication system model into one where multiple antennas are now deployed at both ends of the communication system following the pioneering work of Foschini, Gans and Telatar [1-2]. This system of multiple antennas now commonly referred to as multiple-input multiple-output (MIMO) communication or more generally space-time communication promises an increase in data rate commensurate to the minimum number of antennas deployed at either end of the communication system in multipath rich channel conditions. As a result, a flurry of research efforts has been on to explore the possibility of adopting the MIMO concept into many legacy communication systems. Most of the research has so far focused on the UHF, VHF and SHF bands. In the HF band the presence of different ionization layers in the ionosphere and ground reflections leads to multiple paths connecting the transmitter and the receiver. These multiple paths result in a low data rate which might be alleviated using MIMO technology. However, unlike propagation in the higher frequency bands, the number of multiple paths in the HF band is limited which can lead to a moderate increase in the data rate for MIMO systems. Given the advances recorded in the application of MIMO techniques to other existing communication systems, recently, some effort has been directed at the HF band. However, much of this work has been in experimental measurements [3-5], while others such as [6-7] have focused on establishing the channel capacity increase and de-correlation between transmit and receive antennas, with little effort directed at establishing the potential system performance. In this paper, we present the bit error rate (BER) performance evaluation of the HF channel based on field measurements conducted on a 255 km radio lin- between Durham and Leicester, in the UK, using heterogeneous co-located antennas reported in [4-5]. The transmission consisted of continuous wave (CW) transmissions using a nominal frequency of 5.255 MHz, with a 10 Hz separation between transmissions to help distinguish the signals at the receiver. The received data were then filtered to recover the received CW signals. Detailed description of the experimental set up is reported in [5]. Samples of the filtered received CW signals are shown in Fig. 1. The data were further processed to extract the MIMO channel matrices and used to characterize the MIMO channel in our simulator. A spatial multiplexing (SM), MIMO simulator was designed with four different detection schemes. These are linear Zero-Forcing detector, an Ordered Successive Interference Cancellation (OSIC) VBLAST/ZF detector, as well as a sphere decoder (SD), which is essentially a low complexity maximum likelihood (ML) detector. The results for a 2 by 2 MIMO system employing QPSK are displayed in Figure 2 and compared with the SISO curve.
Keywords :
HF antennas; MIMO communication; antenna arrays; decoding; error statistics; interference suppression; maximum likelihood detection; multipath channels; performance evaluation; radio links; receiving antennas; space division multiplexing; transmitting antennas; BER performance evaluation; CW transmissions; HF MIMO spatial multiplexing systems; HF band; HF channel; MIMO channel matrices; ML; OSIC VBLAST-ZF detector; QPSK; SD; SHF bands; SISO communication system model; SM; UHF bands; VHF bands; bit error rate; channel capacity; continuous wave transmissions; data rate; detection schemes; efficient spectrum utilisation; field measurements; filtered received CW signals; frequency 5.255 MHz; ground reflections; heterogeneous co-located antennas; ionization layers; ionosphere; legacy communication systems; linear zero-forcing detector; low complexity maximum likelihood detector; multipath rich channel conditions; multiple antennas; multiple paths; multiple-input multiple-output communication; ordered successive interference cancellation; radio link; receive antennas; receiver; single-input single-output communication system model; space-time communication; sphere decoder; transmit antennas; transmitter; wireless communication systems; Antenna arrays; Antenna measurements; Bit error rate; MIMO; Wireless communication;