The digital data acquisition in real instrumentation is one of the most crucial operations in any data processing method, since the accuracy of provided samples is a strong influence factor for the achievable performance. In real scenarios, analog to digital converters are characterized by non–idealities that might strongly influence the achievable performance of algorithms, especially when hard limits or thresholds have to be complied and low cost hardware is an economical application requirement. In particular, in Cognitive Radio field, most sensing algorithms are tested in simulation environment by taking into account channel and instrumentation non–idealities as functions of Signal–to–Noise ratio (SNR) only. In this paper, the analog-todigital converter (ADC) stage is considered as an isolated factor of influence, by evaluating the performance worsening obtained for different resolutions of the quantizer. By comparing the obtained SNRs after ADC stage and their related performance with results achievable for the same SNRs, calculated by neglecting the effect of ADC, the authors claim to prove how ADC distortion effects degrade performance beyond the computable SNR and therefore they need to be carefully considered in sensing scheme design.
|Titolo:||The effect of ADC vertical resolution on the performance of an energy detection algorithm in cognitive radios|
CERRO, Gianni [Membro del Collaboration Group]
|Data di pubblicazione:||2018|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|