Quantization Noise Minimization in ΣΔ-modulation based RF Transmitter Architectures
Journal article, 2010

In this paper we describe an optimization method for minimization of quantization noise in ΣΔ-based RF transmitters. The aim of the method is to enable the use of reconstruction filters with wider passband, or alternatively, a lower switch-rate. The method uses a general representation of the ΣΔ-converters in combination with a differentiable approximation of the quantizer. Based on this, a Monte-Carlo based algorithm is developed around the damped Gauss-Newton iteration. As a result of the suggested algorithm, the residual quantization noise after reconstruction filtering is significantly decreased. Finally, simulations using a bandlimited signal with a Gaussian distribution are used to demonstrate the capabilities of the suggested algorithm when applied with the proposed ΣΔ-modulator representation. The resulting performance is compared to several cases of traditional integrator based ΣΔ-converters, demonstrating significant improvements in terms of reduced reconstruction normalized mean square error (NMSE). This implicates that the transmitter efficiency can be improved with minor changes in the modulator implementation.

Noise-Shaped Coding




Ulf Gustavsson

GigaHertz Centre

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

Thomas Eriksson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

GigaHertz Centre

Christian Fager

Chalmers, Microtechnology and Nanoscience (MC2), Microwave Electronics

GigaHertz Centre

IEEE Transactions on Circuits and Systems I: Regular Papers

1549-8328 (ISSN) 15580806 (eISSN)

Vol. 57 12 3082-3091 5518336

Subject Categories

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering



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