• A Cost Effective Residential Telemetry Network

      Kosbar, Kurt; Byland, Sean; Clarke, Craig; Gegg, Matt; Schumacher, Ryan; Strehl, Chris; Missouri University of Science and Technology (International Foundation for Telemetering, 2008-10)
      As cost and power consumption of wireless devices decreases, it becomes increasingly practical to use wireless communications and control in residential settings. These networks share some of the same challenges and constraints as conventional telemetry networks. This particular project focused on using a commercial, off-the-shelf router to implement a residential automation system using Z-Wave wireless devices. The router can communicate status, and accept commands over a conventional 802.11 network, but does not require a remote host to operate the network. The router was reprogrammed using open source software, so it could issue commands, collect data, and monitor the Z-Wave network.
    • Hardware Discussion of a MIMO Wireless Communication System Using Orthogonal Space Time Block Codes

      Potter, Chris; Kosbar, Kurt; Panagos, Adam; Missouri University of Science and Technology; Dynetics, Inc. (International Foundation for Telemetering, 2008-10)
      Although multiple-input multiple-output (MIMO) systems have become increasingly popular, the existence of real time results to compare with those predicted by theory is still surprisingly limited. In this work the hardware description of a MIMO wireless communication system using orthogonal space time block codes (OSTBC) is discussed for two antennas at both the transmitter and receiver. A numerical example for a frequency flat time correlated channel is given to show the impact of channel estimation.
    • MIMO Channel Prediction Using Recurrent Neural Networks

      Potter, Chris; Kosbar, Kurt; Panagos, Adam; Missouri University of Science and Technology; Dynetics, Inc. (International Foundation for Telemetering, 2008-10)
      Adaptive modulation is a communication technique capable of maximizing throughput while guaranteeing a fixed symbol error rate (SER). However, this technique requires instantaneous channel state information at the transmitter. This can be obtained by predicting channel states at the receiver and feeding them back to the transmitter. Existing algorithms used to predict single-input single-output (SISO) channels with recurrent neural networks (RNN) are extended to multiple-input multiple-output (MIMO) channels for use with adaptive modulation and their performance is demonstrated in several examples.
    • New Results in Unitary Space-Time Code Construction and Comparison to Upper Bounds

      Panagos, Adam; Potter, Chris; Kosbar, Kurt; Dynetics, Inc.; Missouri University of Science and Technology (International Foundation for Telemetering, 2008-10)
      Unitary space-time codes are a coding technique for unknown (i.e. non-coherent) multiple-input multiple-output (MIMO) channels. The unitary constellation symbol-error rate performance is determined by the diversity product and diversity sum metrics of the constellation. Numerous techniques have been presented over the last few years for constructing unitary space-time codes with continually improving diversity products and sums. Other work has focused on determining bounds on the optimal diversity product and sum for a given number of transmit antennas and constellation size. This paper presents a comprehensive survey of known construction techniques and bounds for unitary space-time codes, and also reports a variety of new constellations that have been constructed with improved diversity product or sum. These new constellations are documented along with a list of the currently best known codes and bounds. In many cases, a large gap between the bound and best known constellation exist. This result suggests areas of focus for improved constructions or tighter bounds.
    • Tracking the Human Body Via a Wireless Network of Pyroelectric Sensor Arrays

      Kosbar, Kurt; Jolly, James; Bishop, Joe; Nanni, Emilio; Missouri University of Science and Technology (International Foundation for Telemetering, 2008-10)
      This paper describes the design and construction of a low-cost wireless sensor network (WSN) intended to track a human body walking upright through its physical topology. The network consists of arrays of pyroelectric infrared (PIR) sensors that can detect a moving body up to five meters away within a semicircular field of view. Data is gathered from these arrays and transmitted to a central processor that triangulates the body's position. Important characteristics of both the PIR sensors and the network's asynchronous nature are elaborated upon to illustrate how they affect the interpretation of the data.