L2min2/2s: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs

Bo Wang, Man-Kay Law, Jens Schneider

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

it becomes more challenging to improve the energy efficiency of incremental delta-sigma data converters (IDCs) from the analog circuit design perspective, we propose two novel linear reconstruction filters for IDCs to enhance their performance in a digital way, including the L(2)min(2) filter and its symmetric version, the L(2)min(2s) filter. Compared to the classical linear reconstruction filters, such as the cascade-of-integrators (CoI) and cascaded integrator-comb (CIC) filter (an implementation of sinc filter), the proposed filters can achieve efficient quantization and thermal noise suppression, with the lowest thermal noise penalty factor of 1.2 among the high-order linear reconstruction filters. In this paper, we present analytical, numerical, and experimental results to demonstrate the superior performance of the filters for first-order and second-order IDC output reconstruction. The proposed filters are hardware-friendly and example digital implementations in a standard complementary metal-oxide-semiconductor (CMOS) and field-programmable gate array (FPGA) platforms are included in this paper.
Original languageEnglish
Pages (from-to)3229-3241
Number of pages13
JournalIEEE Transactions on Signal Processing
Volume71
DOIs
Publication statusPublished - 2023

Keywords

  • Analog-to-digital data converter
  • Digital filters
  • Filtering algorithms
  • L(2)min(2)
  • L(2)min(2s)
  • Maximum likelihood detection
  • Modulation
  • Noise reduction
  • Nonlinear filters
  • Quantization (signal)
  • Digital linear filter
  • Frequency notch
  • incremental delta-sigma ADC
  • Reconstruction filter
  • Thermal noise penalty

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