Global ETD Search

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Showing 1 to 13 of 13 for “"energy detector"”.

  1. A variable threshold for an energy detector using GNU radio

    … radio meant to determine radio parameters. Energy Detection (ED) is a spectrum sensing technology that has a low computational and operational complexity, a relatively fast spectrum sensing technique to other spectrum sensing technologies, and requires no knowledge of the primary user’s …

    cape-town Repository record for A variable threshold for an energy detector using GNU radio (opens in a new tab)

  2. Spectrum Sensing and Blind Automatic Modulation Classification in Real-Time

    … the implementation of a scanning signal detector and automatic modulation classification system. The classification technique is a completely blind method, with no prior knowledge of the signal's center frequency, bandwidth, or symbol rate. An energy detector forms the initial …

    vt Repository record for Spectrum Sensing and Blind Automatic Modulation Classification in Real-Time (opens in a new tab)

  3. Measuring Noise in the VHF Band and Its Effect on Low SNR Signal Detection

    … The preferred method of spectrum sensing is the energy detector, which does not require any a priori information about the signal to be detected and is computationally simple to implement. Man-made noise, impulsive in nature, has also become more prevalent with the widespread use of electronic …

    vt Repository record for Measuring Noise in the VHF Band and Its Effect on Low SNR Signal Detection (opens in a new tab)

  4. Study of cyclostationary feature detectors for cognitive radio

    … is explored so that the robust single-cycle detector (SCD) can be employed to handle the problem of noise uncertainty, to which the widely used energy detector (ED) is susceptible. Due to complexity concerns for real-time implementation, a blind twin peak (BTP) detector is proposed to …

    nus Repository record for Study of cyclostationary feature detectors for cognitive radio (opens in a new tab)

  5. On Distributed and Acoustic Sensing for Situational Awareness

    … spectrum sensing, we study the optimality of energy detection that has been widely used in the literature. This thesis studies the potential optimality (or sub-optimality) of the energy detector in spectrum sensing. With a single sensing node, we show that the energy detector is provably …

    syracuse-diss Repository record for On Distributed and Acoustic Sensing for Situational Awareness (opens in a new tab)

  6. Investigation of the ⁵¹V(n,d)⁵⁰Ti reaction

    … ⁵⁰Ti reaction has been studied with neutrons of energy of 21.6 MeV. The measurement of the angular distribution of the differential cross section was made with the aid of a spectrometer designed by Dr. McMurray and Prof K. Bharuth - Ram. The spectrometer consists of three multiwire proportional …

    cape-town Repository record for Investigation of the ⁵¹V(n,d)⁵⁰Ti reaction (opens in a new tab)

  7. Ultra-wideband Small Scale Channel Modeling and its Application to Receiver Design

    … The performance of correlation receivers and energy detector receivers are compared as well as Rake diversity forms of each of these types to show tradeoffs in system complexity with performance. Interference to and by UWB signals is considered. A narrowband rejection system for UWB receivers …

    vt Repository record for Ultra-wideband Small Scale Channel Modeling and its Application to Receiver Design (opens in a new tab)

  8. Fault detection of rolling element bearings

    … using kurtosis and changes of signal energy.Two new HFRT algorithms based on wavelet packet transformation and quadratic energy detector are developed. The results from the synthetic bearing defect signal shown that the performance of newly proposed HFRT algorithms are sensitive to …

    washington Repository record for Fault detection of rolling element bearings (opens in a new tab)

  9. Ionization Chamber Design, Development, and Testing for the UNM Fission Fragment Spectrometer

    … particle-by-particle data from a time-of-flight detector and an ionization chamber energy detector. Our UNM spectrometer will also be capable of gathering fission fragment charge (Z) data, due to the addition of an active cathode in the ionization chamber. Preliminary testing has already taken …

    unm Repository record for Ionization Chamber Design, Development, and Testing for the UNM Fission Fragment Spectrometer (opens in a new tab)

  10. Energy-detection based spectrum sensing for cognitive radio on a real-time SDR platform

    … techniques are reviewed, which include energy detection, entropy detection, matched-filter detection, and cyclostationary detection. In this dissertation, the energy sensing technique is examined. A real-time energy detector is developed on the Software-Defined Radio (SDR) testbed that …

    cape-town Repository record for Energy-detection based spectrum sensing for cognitive radio on a real-time SDR platform (opens in a new tab)

  11. An adaptive threshold energy detection technique with noise variance estimation for cognitive radio sensor networks

    … We make amendments to the conventional energy detector particularly on the threshold selection technique. We propose an adaptive threshold energy detection model with noise variance estimation for implementation in CRSN systems. Experimental work on our adaptive threshold technique based …

    cape-town Repository record for An adaptive threshold energy detection technique with noise variance estimation for cognitive radio sensor networks (opens in a new tab)

  12. Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios

    … a blind spectrum sensing method based on joint energy/cyclostationary detection. Optimal wideband energy detector is designed based on the Neyman-Pearson (NP) criterion which maximizes the detection probability of primary signals, subject to a certain false alarm rate. Cyclostationary detection …

    unm Repository record for Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios (opens in a new tab)

  13. Application of Computational Intelligence in Cognitive Radio Network for Efficient Spectrum Utilization, and Speech Therapy

    … algorithmic methods requires a lot of time and energy. Computational Intelligence (CI) techniques can be applied to these scenarios to predict the available spectrum holes, and the expected RF power in the channels. This will enable the CR to predictively avoid noisy channels among the idle …

    de-montfort Repository record for Application of Computational Intelligence in Cognitive Radio Network for Efficient Spectrum Utilization, and Speech Therapy (opens in a new tab)