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Quantization Noise Minimization in ΣΔ-modulation based RF Transmitter Architectures

Ulf Gustavsson (Institutionen för mikroteknologi och nanovetenskap, Mikrovågselektronik ; GigaHertz Centrum) ; Thomas Eriksson (Institutionen för signaler och system, Kommunikationssystem ; GigaHertz Centrum) ; Christian Fager (Institutionen för mikroteknologi och nanovetenskap, Mikrovågselektronik ; GigaHertz Centrum)
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (1549-8328). Vol. 57 (2010), 12, p. 3082-3091.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: ΣΔ-modulaton, Quantization, Noise-Shaped Coding

Denna post skapades 2010-05-09. Senast ändrad 2016-02-01.
CPL Pubid: 121386


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Institutioner (Chalmers)

Institutionen för mikroteknologi och nanovetenskap, Mikrovågselektronik
GigaHertz Centrum
Institutionen för signaler och system, Kommunikationssystem (1900-2017)



Chalmers infrastruktur

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