<p>The development of integrated circuit technology seen in the last decades has enabled a large variety of battery operated equipment to emerge, such as smallsensors and medical implants. These applications often has low requirements on sampling frequency but require a very low power consumption to achieve a longbattery life.</p><p>This thesis investigates one aspect of implementing a low power and low frequency analog to digital converter (ADC) using a technique called Sigma Delta-modulation.The Sigma Delta-ADC uses few analog components but instead it requires a digital filter to extract the wanted resolution. It is this filter which is under investigation in this work.</p><p>To investigate the power consumption under the presumption that the filter would be a custom circuit implemented on-chip, a simplistic approach has been taken. Based on a high-level algorithmic investigation and the fact that it is popularly used together with Sigma Delta-modulators the Cascaded Integrator Comb (CIC) filter was chosen for implementation.</p><p>The CIC-filter uses only adders and delay elements which is a great advantage when aiming at a low power consumption. The drawback is that this filter has a poor passband which can introduce distortion within the signal band. Using the Spectre simulator provided in the Cadence Virtuoso suite the lowest power consumption achieved was 16 nW, extracting 80 % of the theoretically available resolution.</p>
| Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:liu-51464 |
| Date | January 2009 |
| Creators | Cederström, Love |
| Publisher | Linköping University, Department of Electrical Engineering |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, text |
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