Poetry Reading - Poet Laureate of the UP

Russell Thorburn, Poet Laureate of the Upper Peninsula, is visiting Michigan Tech and presenting a reading, workshop, and slide show to the Michigan Tech community from 7 to 8:30 p.m., on Thursday, April 10, in the East Reading room of the Van Pelt and Opie Library. This exceptional event is open to the public and is sponsored by the Friends of the Van Pelt Library; all are welcome and no preregistration is required.

Multi-antenna non-line-of-sight identification techniques for target localization in mobile ad-hoc networks

Target localization has a wide range of military and civilian applications in wireless mobile networks. Examples include battle-field surveillance, emergency 911 (E911), traffc alert, habitat monitoring, resource allocation, routing, and disaster mitigation. Basic localization techniques include time-of-arrival (TOA), direction-of-arrival (DOA) and received-signal strength (RSS) estimation. Techniques that are proposed based on TOA and DOA are very sensitive to the availability of Line-of-sight (LOS) which is the direct path between the transmitter and the receiver. If LOS is not available, TOA and DOA estimation errors create a large localization error. In order to reduce NLOS localization error, NLOS identifcation, mitigation, and localization techniques have been proposed. This research investigates NLOS identifcation for multiple antennas radio systems. The techniques proposed in the literature mainly use one antenna element to enable NLOS identifcation. When a single antenna is utilized, limited features of the wireless channel can be exploited to identify NLOS situations. However, in DOA-based wireless localization systems, multiple antenna elements are available. In addition, multiple antenna technology has been adopted in many widely used wireless systems such as wireless LAN 802.11n and WiMAX 802.16e which are good candidates for localization based services. In this work, the potential of spatial channel information for high performance NLOS identifcation is investigated. Considering narrowband multiple antenna wireless systems, two xvNLOS identifcation techniques are proposed. Here, the implementation of spatial correlation of channel coeffcients across antenna elements as a metric for NLOS identifcation is proposed. In order to obtain the spatial correlation, a new multi-input multi-output (MIMO) channel model based on rough surface theory is proposed. This model can be used to compute the spatial correlation between the antenna pair separated by any distance. In addition, a new NLOS identifcation technique that exploits the statistics of phase difference across two antenna elements is proposed. This technique assumes the phases received across two antenna elements are uncorrelated. This assumption is validated based on the well-known circular and elliptic scattering models. Next, it is proved that the channel Rician K-factor is a function of the phase difference variance. Exploiting Rician K-factor, techniques to identify NLOS scenarios are proposed. Considering wideband multiple antenna wireless systems which use MIMO-orthogonal frequency division multiplexing (OFDM) signaling, space-time-frequency channel correlation is exploited to attain NLOS identifcation in time-varying, frequency-selective and spaceselective radio channels. Novel NLOS identi?cation measures based on space, time and frequency channel correlation are proposed and their performances are evaluated. These measures represent a better NLOS identifcation performance compared to those that only use space, time or frequency.

New media reading strategy

This dissertation addresses the need for a strategy that will help readers new to new media texts interpret such texts. While scholars in multimodal and new media theory posit rubrics that offer ways to understand how designers use the materialities and media found in overtly designed, new media texts (see, e.g,, Wysocki, 2004a), these strategies do not account for how readers have to make meaning from those texts. In this dissertation, I discuss how these theories, such as Lev Manovich’s (2001) five principles for determining the new media potential of texts and Gunther Kress and Theo van Leeuwen’s (2001) four strata of designing multimodal texts, are inadequate to the job of helping readers understand new media from a rhetorical perspective. I also explore how literary theory, specifically Wolfgang Iser’s (1978) description of acts of interpretation, can help audiences understand why readers are often unable to interpret the multiple, unexpected modes of communication used in new media texts. Rhetorical theory, explored in a discussion of Sonja Foss’s (2004) units of analysis, is helpful in bringing the reader into a situated context with a new media text, although these units of analysis, like Iser’s process, suggests that a reader has some prior experience interpreting a text-as-artifact. Because of this assumption of knowledge put forth by all of the theories explored within, I argue that none alone is useful to help readers engage with and interpret new media texts. However, I argue that a heuristic which combines elements from each of these theories, as well as additional ones, is more useful for readers who are new to interpreting the multiple modes of communication that are often used in unconventional ways in new media texts. I describe that heuristic in the final chapter and discuss how it can be useful to a range of texts besides those labelled new media.