Towards a broadband front-end for cooperative spectrum sensing networks

Lohmiller, Peter; Elsokary, Ahmed; Schumacher, Hermann; Chartier, Sébastien

doi:10.1109/eumc.2014.6986391

Cited by 3 publications

(2 citation statements)

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“…The dedicated front-end relies on external local oscillator sources and provides a base-band bandwidth of 100 MHz per I and Q channel. A detailed description of the analog frontend is given in [16]. For all the real world tests, a discone omni-directional antenna (frequency range 300 MHz to 3 GHz) was connected to the front-end.…”

Section: Analog Front-endmentioning

confidence: 99%

“…As the PSD is calculated at a resolution bandwidth of 60 kHz, the system needs to be sensitive to a -112 dBm sinusoidal signal to meet the standard for microphone signals. The sensitivity is limited so far by the fairly high noise figure of the front-end [16], which is due to an unexpected reduced gain in the up-conversion stage as well as due to the losses introduced through the realization into a single module. A future re-design, including a low loss input BALUN as well as a re-design of the high-IF filter is expected to further improve the sensitivity of the system by lowering the front-end noise figure.…”

Section: Sensitivitymentioning

confidence: 99%

See 1 more Smart Citation

A Hardware Prototype of a Flexible Spectrum Sensing Node for Smart Sensing Networks

Elsokary¹,

Lohmiller²,

Valenta³

et al. 2016

EAI Endorsed Transactions on Cognitive Communications

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In this paper we present a prototype for a spectrum sensing node for a cognitive radio sensing network. Our prototype consists of a custom down-conversion front-end with an RF input frequency range from 300 MHz to 3 GHz and a Power Spectral Density (PSD) estimation algorithm implemented on a Virtex-6 Field Programmable Gate Array (FPGA). The base-band processing part is capable of calculating the PSD for a bandwidth upto 245.76 MHz achieving a resolution of 60 kHz and an online variable averaging functionality with a maximum of 32767 averages. We show the arithmetic optimization techniques used for the PSD evaluation to optimize FPGA resource usage. Real time performance and calculation of the PSD for real world signals in the GSM downlink, DECT and the UHF DVB-T bands are demonstrated.

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Section: Analog Front-endmentioning

confidence: 99%

Section: Sensitivitymentioning

confidence: 99%