Radio measurements on a customized software defined radio module: A case study of energy detection spectrum sensing

Jordbru, Thomas; Idsøe, Henning; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar; Hamid, Mohamed

doi:10.1109/i2mtc.2017.7969681

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Fig. 2(b) shows a picture of the measurement location and setup Following are important remarks regarding the measurements setup: 1) ZC706 /FCOMM5S SDR which used as a sensor is a software defined radio (SDR) that is developed by the authors of this paper and and its performance is evaluated in [16].…”

Section: A Measurements Setupmentioning

confidence: 99%

Spectrum cartography using adaptive radial basis functions: Experimental validation

Idsøe

Hamid

Jordbru

et al. 2017

2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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In this paper, we experimentally validate the functionality of a developed algorithm for spectrum cartography using adaptive Gaussian radial basis functions (RBF). The RBF are strategically centered around representative centroid locations in a machine learning context. We assume no prior knowledge about neither the power spectral densities (PSD) of the transmitters nor their locations. Instead, the received signal power at each location is estimated as a linear combination of different RBFs. The weights of the RBFs, their Gaussian decaying parameters and locations are jointly optimized using expectation maximization with a least squares loss function and a quadratic regularizer. The performance of adaptive RBFs based spectrum cartography is shown through measurements using a universal software radio peripheral, a customized node and LabView framework. The obtained results verify the ability of adaptive RBF to construct spectrum maps with an acceptable performance measured by normalized mean square error (NMSE).

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Section: A Measurements Setupmentioning

confidence: 99%