Changes between Version 92 and Version 93 of Other/Summer/2015/aSDR2
- Timestamp:
- Jul 15, 2015, 7:53:50 PM (9 years ago)
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Other/Summer/2015/aSDR2
v92 v93 5 5 === Introduction === 6 6 7 Spectrum sensing is the systematic scanning of the available radio frequency spectrum for areas of high usage. Our project involves the use of Universal Software Radio Peripherals (USRPs) in ORBIT to detect which frequencies are in use at any given time. Using GNURadioand MATLAB/Octave for signal processing, we aim to detect with optimal speed and efficiency the frequency of any signal transmitted from an unknown source. Accomplishing this goal will help to identify available bands in the frequency spectrum, giving opportunities for more efficient usage.7 Spectrum sensing is the systematic scanning of the available radio frequency spectrum for areas of high usage. Our project involves the use of Universal Software Radio Peripherals (USRPs) in ORBIT to detect which frequencies are in use at any given time. Using WINLAB's Wiserd framework and MATLAB/Octave for signal processing, we aim to detect with optimal speed and efficiency the frequency of any signal transmitted from an unknown source. Accomplishing this goal will help to identify available bands in the frequency spectrum, giving opportunities for more efficient usage. 8 8 9 9 … … 50 50 === Objectives === 51 51 52 * Knowledge of basic Digital Signal Processing concepts. 53 * Knowledge of filter design. 54 * Utilization of ORBIT. 55 * Writing/editing scripts. 56 * Saving from console to local devices. 57 * Running experiments on the grid. 58 * Utilization of MATLAB to process signals. 59 * Fast Fourier Transform (FFT). 60 * Inverse Fast Fourier Transform (IFFT). 52 * Knowledge of basic Digital Signal Processing concepts 53 * Knowledge of filter design 54 * Utilization of ORBIT 55 * Writing/editing scripts 56 * Saving from console to local devices 57 * Running experiments on the grid 58 * Utilization of MATLAB to process signals 59 * Fast Fourier Transform (FFT) 60 * Inverse Fast Fourier Transform (IFFT) 61 * Design of Signal Processing and Data Visualization Tools 62 * Transform IQ samples to frequency domain 63 * Analyze data and identify any transmitted frequencies 64 * Generate waterfall plots, power vs. frequency plots, and other visuals 65 * Real-Time Application 66 * Display visuals in real-time 67 * User interface for changing receiver carrier frequency, sampling rate, etc. 68 61 69 62 70 … … 106 114 * Start of Implementation of MATLAB Code in c++. 107 115 108 Week 8 in progress. 116 Week 8 [[http://www.orbit-lab.org/raw-attachment/wiki/Other/Summer/2015/aSDR2/Spectrum%20Sensing%20Week%204.pdf|Presentation to NYIT Summer Research Interns.]] 117 118 109 119 110 120 === Experiments ===