Data Analysis

This chapter presents data analysis techniques pertinent to various radio channels. The chapter first discusses the analysis of a single radio channel measurement to estimate the impulse response and the frequency response of the channel using basic spectral analysis techniques. It commences with the discrete Fourier transform (DFT) and the effect of the window functions on the estimated channel response. Then, the chapter addresses statistical analysis of time and space series. It defines and uses the RUNS test to determine the stationarity of a process. The last part of the chapter addresses high resolution parameter estimation techniques used in double directional analysis such as space‐alternating generalized expectation (SAGE), multiple signal classification (MUSIC) and estimation of signal parameters via the rational invariance technique (ESPRIT). This is followed by a discussion on the estimation of multiple input—multiple output (MIMO) channel capacity.