By Kathleen Philips
SigmaDelta A/D Conversion for sign Conditioning addresses the applying of continuous-time SigmaDelta A/D converters in receivers for a.o. instant communique. particularly, it makes a speciality of their resources for digitizing such channels.
The booklet offers an summary of the cutting-edge in SigmaDelta layout and of the demanding situations for destiny realizations. It presents an figuring out of the elemental energy potency of SigmaDelta converters. moreover, it offers an research of the facility intake within the decimation clear out. realizing those power/performance trade-offs, it turns into transparent that straight-forward digitization of a conditioning channel, i.e. changing analog for electronic conditioning, comes at a massive strength penalty.
This booklet proposes another imaginative and prescient on digitization: as a result of its inherent immunity to interferers, a part of the sign conditioning should be built-in into the continuous-time SigmaDelta A/D converter. This strategy leads to an incredible development of the power/performance stability of the complete channel. a few of the elements of the interferer immunity of the converter are analyzed in a lot element and superior SigmaDelta topologies with even better immunity are offered. layout examples for hugely digitized AM/FM and Bluetooth radios function an indication. The examples contain certain circuit diagrams, simulation and try out effects, in addition to an review of the SigmaDelta-based conditioning channel compared to extra traditional solutions.
The booklet is vital studying for mixed-signal and RF designers who are looking to familiarize with the fundamentals of SigmaDelta layout. For the skilled clothier and for the procedure architect, the publication presents an in-depth realizing of the most important resources of SigmaDelta converters in digitized receivers.
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Extra info for Sigma Delta A/D Conversion for Signal Conditioning
These parameters determine the data rate that the signal can contain. o. Gaussian signal and noise sources), but this discussion is 30 A/D CONVERSION meant as an intuitive reasoning only. Hence, applying Shannon’s theorem to a true-life signal: data rate ∼ BW data rate ∼ log SNR where data rate, BW and SNR relate to the signal. e. e. bandwidth. This property is the basis of encoding. Taking into account the following considerations on power consumption in analog circuits: power consumption ∼ BW power consumption ∼ SNR assuming the latter is dominated by thermal noise.
1 and eq. 4 are easier because they need less published data. 5 Power consumption in digital conditioning circuits The functionality of the digital conditioning circuits is in: 1. 3: Deﬁnition of the decimation ﬁlter characteristics • the reduction of the high sample rate to the Nyquist sample rate. 2. reducing the dynamic range by scaling the word-length (digital VGA). Both aspects are discussed next. Decimation ﬁltering: The decimation function is clariﬁed based on ﬁg. 3 depicting the transfer function of the i th decimation ﬁlter (assuming multi-stage decimation).
For sure, the above explanation remains speculative to some extent. The FOM of eq. 6 seems very well suited for predicting the state-of-the-art minimum power consumption that is required to meet a certain performance target. 3. POWER CONSUMPTION IN ANALOG CONDITIONING CIRCUITS 41 used for benchmark purposes. Still, in this book, especially the FOM of eq. 4 is used. As motivated, for ADCs, it is meaningful from a physical point-of-view. Therefore, it is well-suited for extrapolation of power consumption of a speciﬁc ADC implementation to a varying performance target or vice versa.
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