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US 2014/0211644 A1Published application
Robust parametric power spectral density (psd) construction
AssigneeRegents of the University of Minnesota
InventorsGeorgios B. Giannakis, Emiliano Dall'Anese, Juan Andrés Bazerque, Hao Zhu, Gonzalo Mateos
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Abstract
This disclosure describes techniques for constructing power spectral density (PSD) maps representative of the distribution of radio frequency (RF) power as a function of both frequency and space (geographic location). For example, the disclosure describes techniques for construction PSD maps using robust basis pursuit forms of signal expansion.
Claims22
A method comprising:
- sensing local radio-frequency (RF) interference spectrum at each of a plurality of sensors positioned at a plurality of locations within a geographic region;
- computing a basis expansion model from the sensed RF interference spectrum, wherein the basis expansion model comprises a set of reference basis functions that represent a distribution of RF power emitted by RF-enabled devices throughout the geographic region as a function of frequency and location;
- computing coefficients for the reference basis functions of the basis expansion model using a group sparse least-absolute-shrinkage-and-selection operator (GS-Lasso);
- and
- constructing, in accordance with the basis expansion model, a power spectral density (PSD) map representative of the distribution of RF power throughout the geographic region.
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A system comprising:
- a plurality of sensors to sense a local radio-frequency (RF) interference spectrum at each of a plurality of locations within a geographic region;
- and
- a processor that computes a basis expansion model from the sensed RF interference spectrum at each of the sensors to construct a power spectral density (PSD) map representative of the distribution of RF power throughout the geographic region as a function of frequency and location,
- wherein the processor computes the basis expansion model as a plurality of reference basis functions each having a corresponding coefficient, the reference basis functions representing a power emitted by an RF-enabled device on a corresponding frequency band, and
- wherein the processor computes the coefficients of the basis expansion model using a group sparse least-absolute-shrinkage-and-selection operator (GS-Lasso).
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A mobile device comprising:
- a sensor to sense a local radio-frequency (RF) interference spectrum at a locations within a geographic region;
- and
- a processor that computes a basis expansion model from the sensed RF interference spectrum at each of the sensors to construct a power spectral density (PSD) map representative of the distribution of RF power throughout the geographic region as a function of frequency and location,
- wherein the processor computes the basis expansion model to include a plurality of functions having a corresponding coefficient, each of the functions representing a power emitted by an RF-enabled device on a corresponding frequency band, and
- wherein the processor applies a group sparse least-absolute-shrinkage-and-selection operator (GS-Lasso) to coefficients of the basis expansion model only for frequencies an locations within the geographic region having an active transmitter.
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Dependencies are inferred from the claim text.