Autocorrelation characteristics for received signal level in a wide-band mobile radio channel

Abstract

With the advent of diversified multimedia services in mobile communication systems, the trend in mobile transmission is to use digital and wide‐band channels. It is reported that the instantaneous received signal level fluctuates in wide‐band transmission channels, behaving very differently from narrow‐band channels. The basic characteristics of the instantaneous received signal‐level fluctuation are the distribution of the received signal level, the autocorrelation, and the frequency correlation. This paper discusses the autocorrelation characteristics, which are the most important in the design of the antenna spacing and other parameters in a mobile station for a space diversity system. As the first step, the autocorrelation coefficient is analyzed based on the wide‐band propagation model, and an expression for the autocorrelation coefficient is derived. It is seen that the autocorrelation coefficient is not affected by the receiver bandwidth and can be represented by a zeroth‐order Bessel function of the first kind, as in the case of the autocorrelation function in narrow‐band transmission. In order to verify the above result, a computer simulation is performed. The instantaneous received signal‐level fluctuation is generated by simulation for narrow‐band and wide‐band reception, and the autocorrelation coefficient is calculated based on the resulting received signal‐level fluctuation. The received signal level is also measured by experiment for narrow‐band and wide‐band transmission, and the autocorrelation coefficient is calculated from the result. It is verified by the simulation as well as the experiment that the autocorrelation coefficient does not depend on the receiver bandwidth and can be approximately represented by a zeroth‐order Bessel function of the first kind. © 1999 Scripta Technica, Electron Comm Jpn Pt 1, 82(11): 45–52, 1999

Link Quality Prediction in Mobile Ad-Hoc Networks

“…The probability distribution is the summary of the amplitude structure of the process; the autocorrelation is the summary of the time structure (Yates & Goodman 2005, p. 353). Nakabayashi & Kozono (1998) investigated the autocorrelation properties of small-scale wideband signal envelope fading based on Kozono's (1994) wideband signal propagation model. It was shown that the normalized autocorrelation of the small-scale fading signal envelope r is independent of the receiver bandwidth and is described for both, narrowband and wideband signals, by (Nakabayashi & Kozono 1998, (2)), (Goldsmith 2005, pp.…”

“…Kozono (1994) and Yan & Kozono (1999) have proposed a wideband signal propagation model with which they investigated the small-scale fading of the received signal envelope of a mobile receiver. They verified their model with extensive measurements performed in the Tokyo region (Kozono 1994, Nakabayashi & Kozono 1998, Yan & Kozono 1999, Nakabayashi et al 2001 and observed that the fading depth is strongly dependent not only on the ratio of the direct to indirect power of the wideband signal but also on what they term the 'Equivalent Received Bandwidth'. They also observed that the distribution of the signal envelope is almost independent of the carrier frequency.…”

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“…This result was derived analytically and also verified by measurements [19]. Figure 1 shows the normalized autocorrelation function of the small-scale fading process.…”

“…They showed that the autocorrelation of the small-scale fading signal envelope is independent of the receiver bandwidth and is given for both, narrowband and wideband signals, by [19] [21] (pp. 73, 74):…”

“…Nakabayashi and Kozono [19] investigated the autocorrelation properties of smallscale wideband signal envelope fading based on the wideband signal propagation model of [20]. They showed that the autocorrelation of the small-scale fading signal envelope is independent of the receiver bandwidth and is given for both, narrowband and wideband signals, by [19] [21] (pp.…”