Energy-efficient hardware architecture and VLSI implementation of a polyphase channelizer with applications to subband adaptive filtering

Yongtao Wang, Hamid Mahmoodi, Lih Yih Chiou, Hunsoo Choo, Jongsun Park, Woopyo Jeong, Kaushik Roy

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Polyphase channelizer is an important component of subband adaptive filtering systems. This paper presents an energy-efficient hardware architecture and VLSI implementation of polyphase channelizer, integrating algorithmic, architectural and circuit level design techniques. At algorithm level, low complexity polyphase channelizer architecture is derived using multirate signal processing approach. To reduce the computational complexity in polyphase filters, computation sharing differential coefficient (CSDC) method is effectively used as an architectural level technique. The main idea of CSDC is to combine the strength of augmented differential coefficient method and subexpression sharing. Efficient circuit-level techniques: low power commutator implementation, dual-VDD scheme and novel level-converting flip-flop (LCFF), are also used to further reduce the power dissipation. The proposed polyphase channelizer consumes 352 mW power with throughput of 480 million samples per second (MSPS). A test chip has been fabricated in 0.18 μm CMOS technology and its functionality is verified. Chip measurement results show that the dual-VDD implementation achieves a total power saving of 2.7 X.

Original languageEnglish
Pages (from-to)125-137
Number of pages13
JournalJournal of Signal Processing Systems
Volume58
Issue number2
DOIs
Publication statusPublished - 2010 Feb

Bibliographical note

Funding Information:
This work was supported in part by the DARPA MSP program and Semiconductor Research Corporation (1122.001). Y.Wang . H. Choo Texas Instruments Inc., Dallas, TX 75243, USA

Keywords

  • Hardware architecture
  • Low power design
  • Multirate system
  • Polyphase channelizer
  • Very large scale integration (VLSI)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Signal Processing
  • Information Systems
  • Modelling and Simulation
  • Hardware and Architecture

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