Jukka-Pekka Nuutinen

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Acknowledgements First of all, I want to thank the Elektrobit Corp., Finland. Their co-funding over a period of three years made this thesis possible. Especially, I want to acknowledge the continuous and strong support of their research team, Dr. cooperation was a true pleasure for me. I also want to express my gratitude to the Centre for Wireless(More)
— Recent findings suggest to split the impulse response of the radio channel into discrete paths and the " diffuse multipath " (DMP). This diffuse part can be described by an exponentially decaying power delay profile. This paper shows how to improve current radio channel models using the DMP concept. From MIMO channel measurements, we find that the DMP(More)
— Indoor MIMO measurements in a laboratory environment , covering both line-of-sight (LoS) and obstructed line-of-sight (OLoS), are reported. Comparison of data taken at 2.55 and 5.25 GHz reveal subtle differences in temporal and angular characteristics. Multipath appears in clusters, which can be attributed to specific scattering/reflection areas in the(More)
— We present a solution to the problem of identifying clusters from MIMO measurement data in a data window, with a minimum of user interaction. Conventionally, visual inspection has been used for the cluster identification. However this approach is impractical for a large amount of measurement data. Moreover, visual methods lack an accurate definition of a(More)
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention. The method comprises the following steps: (i) identify clusters in measurement data, (ii) identify the optimum number of clusters, (iii) track clusters over consecutive time(More)
Recommended by Mansoor Shafi This paper presents the Random-Cluster Model (RCM), a stochastic time-variant, frequency-selective, propagation-based MIMO channel model that is directly parametrised from measurements. Using a fully automated algorithm, multipath clusters are identified from measurement data without user intervention. The cluster parameters are(More)