Influence of noise on a novel RMS delay spread estimation method

This paper describes the influence of noise on a previously proposed measurement method for wide-band, Rayleigh- and Ricean-fading radio channels. As the original procedure exploits the proportionality between the level crossing rate in the frequency domain (LCR/sub f/) and the RMS delay spread of the channel, the influence of noise on the LCR/sub f/ is investigated and evaluated here. A compact solution is given for the noise-influenced case, which requires only one parameter, additional to those from the original procedure. However, we observe that the continuous-time (and -frequency) model used to obtain this solution yields a bias of the theoretical result against the ones obtained from the measurements, since they are discrete in frequency. Therefore, for the Rayleigh fading case, the discrete-time LCR is derived to identify the source of this bias. It is seen that the analytical result is not very suitable for being applied to a measurement procedure. It can be used however, to quantify the influence of noise in a particular situation and to assess noise-reduction techniques that might be required.

[1]  Ramjee Prasad,et al.  Assessment of a pico-cellular system using propagation measurements at 1.9 GHz for indoor wireless c , 1995 .

[2]  Klaus Witrisal,et al.  RMS delay spread estimation technique using non-coherent channel measurements , 1998 .

[3]  Klaus Witrisal,et al.  Frequency-domain simulation and analysis of the frequency-selective Ricean fading radio channel , 1998, Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361).

[4]  M. Patzold,et al.  On the statistical properties of deterministic simulation models for mobile fading channels , 1998 .

[5]  Norman C. Beaulieu,et al.  Infinite series representations of the bivariate Rayleigh and Nakagami-m distributions , 1997, IEEE Trans. Commun..

[6]  Matthias Patzold,et al.  A study of a land mobile satellite channel model with asymmetrical Doppler power spectrum and lognormally distributed line-of-sight component , 1998 .

[7]  Ramjee Prasad,et al.  Wideband indoor channel measurements and BER analysis of frequency selective multipath channels at 2.4, 4.75, and 11.5 GHz , 1996, IEEE Trans. Commun..

[8]  S. Rice Mathematical analysis of random noise , 1944 .

[9]  S. O. Rice,et al.  Statistical properties of a sine wave plus random noise , 1948, Bell Syst. Tech. J..

[10]  P. Bello Characterization of Randomly Time-Variant Linear Channels , 1963 .

[11]  Gerard J. M. Janssen,et al.  Wideband indoor and outdoor multipath channel measurements at 17 GHz , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[12]  Mohamed-Slim Alouini,et al.  A simple single integral representation of the bivariate Rayleigh distribution , 1998, IEEE Communications Letters.