2017Unpublished venueRequires access

Multi‐Stage and Multi‐Quantizer Delta‐Sigma Modulators

Richard Schreier, Shanthi Pavan, Gabor C. Temes

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Abstract

This chapter discusses delta-sigma modulators that combine noise cancellation with noise-shaping and examines how the signal-to-quantization noise ratio (SQNR) can be increased by increasing the oversampling ratio (OSR), oversampling ratio, or the quantizer resolution, or the order or aggressiveness of the loop filter. A different strategy is to cancel the quantization noise in addition to noise filtering using a multi-stage structure for the modulator. The quantized outputs can then be combined in a way that reduces the overall noise power. In high-order single-stage modulators, the imperfect matching of the passive loop filter elements and the finite gain of the active ones will change the coefficients of the NTF and STF. As is usual for delta-sigma modulators, accurate behavioral simulation is the most reliable technique for predicting the effects of all non-idealities on the SQNR of a MASH modulator. Computer simulations indicate that the performance of the modulator remains minimally affected when the opamp dc gains are as low as 30 dB and the element errors are as large as 5%.

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What this paper is about

This chapter discusses delta-sigma modulators that combine noise cancellation with noise-shaping and examines how the signal-to-quantization noise ratio (SQNR) can be increased by increasing the oversampling ratio (OSR), oversampling ratio, or the quantizer resolution, or the order or aggressiveness of the loop filter. A different strategy is to cancel the quantization noise in addition to noise filtering using a multi-stage structure for the modulator. The quantized outputs can then be combined in a way that reduces the overall noise power. In high-order single-stage modulators, the imperfect matching of the passive loop filter elements and the finite gain of the active ones will change the coefficients of the NTF and STF. As is usual for delta-sigma modulators, accurate behavioral simulation is the most reliable technique for predicting the effects of all non-idealities on the SQNR of a MASH modulator. Computer simulations indicate that the performance of the modulator remains minimally affected when the opamp dc gains are as low as 30 dB and the element errors are as large as 5%.

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Available abstract

This chapter discusses delta-sigma modulators that combine noise cancellation with noise-shaping and examines how the signal-to-quantization noise ratio (SQNR) can be increased by increasing the oversampling ratio (OSR), oversampling ratio, or the quantizer resolution, or the order or aggressiveness of the loop filter. A different strategy is to cancel the quantization noise in addition to noise filtering using a multi-stage structure for the modulator. The quantized outputs can then be combined in a way that reduces the overall noise power. In high-order single-stage modulators, the imperfect matching of the passive loop filter elements and the finite gain of the active ones will change the coefficients of the NTF and STF. As is usual for delta-sigma modulators, accurate behavioral simulation is the most reliable technique for predicting the effects of all non-idealities on the SQNR of a MASH modulator. Computer simulations indicate that the performance of the modulator remains minimally affected when the opamp dc gains are as low as 30 dB and the element errors are as large as 5%.

Key concepts: Oversampling, Delta-sigma modulation, Noise shaping, Quantization (signal processing), Noise (video), Electronic engineering, Control theory (sociology), Computer science

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