WIDE-BAND MEASUREMENT AND ANALYSIS TECHNIQUES FOR THE MOBILE RADIO CHANNEL

Citation
Pj. Cullen et al., WIDE-BAND MEASUREMENT AND ANALYSIS TECHNIQUES FOR THE MOBILE RADIO CHANNEL, IEEE transactions on vehicular technology, 42(4), 1993, pp. 589-603
Citations number
42
Categorie Soggetti
Engineering, Eletrical & Electronic",Telecommunications,Transportation
ISSN journal
00189545
Volume
42
Issue
4
Year of publication
1993
Pages
589 - 603
Database
ISI
SICI code
0018-9545(1993)42:4<589:WMAATF>2.0.ZU;2-A
Abstract
The appearance of high bit rate digital radio systems would appear to demand the existence of wide-band channel models, planning tools, and simulation capabilities. The inclusion of these wide-band effects in p lanning tools would, in many cases, appear to be the most obvious way of improving upon the accuracy of existing propagation modeling techni ques, especially in areas subject to multipath interference, for examp le, in urban areas surrounded by mountains. Detailed channel informati on is particularly important in the development of these more refined propagation models. This means that the mobile radio planner needs acc ess to the local scattering function rather than just the average sign al strength; moreover, it is increasingly desirable that experimentali sts have the capability to locate scatterers (measure the direction of arrival azimuthal as well as elevation) to aid in multipath model dev elopment. In this paper, we present an overview of various approaches to wide-band channel data acquisition (channel sounding) and data anal ysis for the locally QWSSUS channel. In particular, we outline how hig h-speed digital signal processing techniques can be employed to constr uct a nearly ideal real-time wide-band channel sounder. The digital so under which we describe employs a TMS32050A to implement a matched fil ter type receiver. The probe signal is a carrier BPSK modulated with a binary maximal length sequence; the received signal is processed in r eal time, yielding a complex time variant channel impulse response. A dynamic range in excess of 40 dB is achieved. We also briefly discuss techniques to use this data for stored channel simulation. Finally, by way of pointing-out that much more information can be extracted from channel sounding data than is generally appreciated, we briefly discus s the use of probability theory (Bayesian techniques) in model selecti on.