Reconfigurable RF front-ends for cognitive and software-defined radio

Djoumessi, Erick Emmanuel; Wu, Ke

doi:10.1017/cbo9781107295537.005

Cited by 2 publications

(1 citation statement)

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“…Thus, the best is to have CR with SDR features, which can sense the electromagnetic spectrum environment, tracking and responding to the variations and findings in a smart way. Moreover, the cost and power consumption are significant while talking about reconfigurable receiver architectures [ 12 ]. Earlier receivers were using analog-to-digital converters.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Reconfigurable Gilbert Mixer for Software-Defined Radios

Mehta

Donelli

2021

Sensors

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A reconfigurable gm-boosted, image-rejected downconversion mixer is presented in this paper using the SiGe 8 HP technology. The proposed mixer operates within 0.9–13.5 GHz that is suitable for software-defined radio applications. The conversion mixer comprises of resistive biased radio frequency (RF) section, double balanced Gilbert cell mixer core sections divided as per I and Q stages for image-rejection purpose, inductively peaked gm-boosting section and tunable filter section, respectively. In comparison to previous works in the scientific literature, the design shows enhanced conversion gain (CG), noise figure (NF), and image-rejection ratio (IRR). For the entire band of operation, the mixer attains a good return loss |S11| of <−10 dB. Additionally, the design accomplishes an excellent CG of 22 dB, NF of 2.5 dB, and an image-rejection ratio of 30.2 dB at maximum frequency. Finally, a third-order intercept point (IP3) of −3.28 dBm and 1 dB compression point (CP1) of −13 dBm, respectively, shows moderate linearity performance.

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Section: Introductionmentioning

confidence: 99%