Multipath component estimation for indoor radio channels

Abstract

This paper reports a method for the statistical analysis of time-series measurements on indoor radio channels to derive higher-resolution information. Estimation of the number of multipath components in a time series of impulse response estimates is accomplished using the singular-value perturbation theory. This involves determining a noise threshold, then selecting eigenvalues from the channel data matrix derived from the measurements. Once the number of multipath components is determined, their corresponding amplitudes, phases and delays are estimated by reducing the problem to the classical estimation of complex sinusoids in the presence of additive noise. Results are shown for the analysis of measured data recorded using a 200 MHz bandwidth measurement system to measure indoor 40 GHz time series data.