Paper
29 May 2014 Spectrum sensing techniques for nonlinear radar
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Abstract
In this paper, spectrum sensing techniques are explored for nonlinear radar. These techniques use energy detection to identify an unoccupied receive frequency for nonlinear radar. A frequency is considered unoccupied if it satisfies the following criteria: 1) for a given frequency of interest, its energy must be below a predetermined threshold; 2) the surrounding energy of this frequency must also be below a predetermined threshold. Two energy detection techniques are used to select an unoccupied frequency. The first technique requires the fast Fourier transform and a weighting function to test the energy in neighboring frequency bins; both of these procedures may require a high degree of computational resources. The second technique uses multirate digital signal processing and the fast binary search techniques to lower the overall computational complexity while satisfying the requirements for an unoccupied frequency.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anthony Martone, Kenneth Ranney, Gregory Mazzaro, David McNamara, Jerry Silvious, Kelly Sherbondy, Kyle Gallagher, and Ram Narayanan "Spectrum sensing techniques for nonlinear radar", Proc. SPIE 9077, Radar Sensor Technology XVIII, 90770D (29 May 2014); https://doi.org/10.1117/12.2057835
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Radar

Binary data

Optical filters

Filtering (signal processing)

Sensing systems

Complex systems

Data acquisition

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