A novel adaptive algorithm and VLSI design for frequency detection in noisy environment based on adaptive IIR filter

M. H. Sheu; H. E. Liao; S. T. Kan; Ming-Der Shieh

A novel adaptive algorithm and VLSI design for frequency detection in noisy environment based on adaptive IIR filter

M. H. Sheu, H. E. Liao, S. T. Kan, Ming-Der Shieh

Department of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

A novel adaptive algorithm using an IIR narrow band filter (NBPF) is presented to detect a single sinusoid corrupted by Gaussian noise. This algorithm is not only computationally efficient but also suitable for VLSI implementation. The derivation of the adaptive algorithm for frequency begins with an autoregressive (AR) model to formulate a constrained-optimization problem. Then, a new algorithm for frequency detection is derived via the method of Lagrange multiplier. MATLAB simulation shows that our approach has good tracking ability and noise reduction. Finally, a high speed VLSI architecture is designed and implemented according to the proposed algorithm. After hardware simulation, the chip area and clock rate of the whole architecture is 1804×1804um² and 75MHz respectively by using 0.35um COMS 1P4M technology.

Original language	English
Journal	Materials Research Society Symposium - Proceedings
Volume	626
Publication status	Published - 2001 Jan 1
Event	Thermoelectric Materials 2000-The Next Generation Materials for Small-Scale Refrigeration and Power Generation Applications - San Francisco, CA, United States Duration: 2000 Apr 24 → 2000 Apr 27

All Science Journal Classification (ASJC) codes

Materials Science(all)
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering

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@article{36487410f5dd456182ceba389b9a923b,

title = "A novel adaptive algorithm and VLSI design for frequency detection in noisy environment based on adaptive IIR filter",

abstract = "A novel adaptive algorithm using an IIR narrow band filter (NBPF) is presented to detect a single sinusoid corrupted by Gaussian noise. This algorithm is not only computationally efficient but also suitable for VLSI implementation. The derivation of the adaptive algorithm for frequency begins with an autoregressive (AR) model to formulate a constrained-optimization problem. Then, a new algorithm for frequency detection is derived via the method of Lagrange multiplier. MATLAB simulation shows that our approach has good tracking ability and noise reduction. Finally, a high speed VLSI architecture is designed and implemented according to the proposed algorithm. After hardware simulation, the chip area and clock rate of the whole architecture is 1804×1804um2 and 75MHz respectively by using 0.35um COMS 1P4M technology.",

author = "Sheu, {M. H.} and Liao, {H. E.} and Kan, {S. T.} and Ming-Der Shieh",

year = "2001",

month = jan,

day = "1",

language = "English",

volume = "626",

journal = "Materials Research Society Symposium - Proceedings",

issn = "0272-9172",

publisher = "Materials Research Society",

note = "Thermoelectric Materials 2000-The Next Generation Materials for Small-Scale Refrigeration and Power Generation Applications ; Conference date: 24-04-2000 Through 27-04-2000",

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TY - JOUR

T1 - A novel adaptive algorithm and VLSI design for frequency detection in noisy environment based on adaptive IIR filter

AU - Sheu, M. H.

AU - Liao, H. E.

AU - Kan, S. T.

AU - Shieh, Ming-Der

PY - 2001/1/1

Y1 - 2001/1/1

N2 - A novel adaptive algorithm using an IIR narrow band filter (NBPF) is presented to detect a single sinusoid corrupted by Gaussian noise. This algorithm is not only computationally efficient but also suitable for VLSI implementation. The derivation of the adaptive algorithm for frequency begins with an autoregressive (AR) model to formulate a constrained-optimization problem. Then, a new algorithm for frequency detection is derived via the method of Lagrange multiplier. MATLAB simulation shows that our approach has good tracking ability and noise reduction. Finally, a high speed VLSI architecture is designed and implemented according to the proposed algorithm. After hardware simulation, the chip area and clock rate of the whole architecture is 1804×1804um2 and 75MHz respectively by using 0.35um COMS 1P4M technology.

AB - A novel adaptive algorithm using an IIR narrow band filter (NBPF) is presented to detect a single sinusoid corrupted by Gaussian noise. This algorithm is not only computationally efficient but also suitable for VLSI implementation. The derivation of the adaptive algorithm for frequency begins with an autoregressive (AR) model to formulate a constrained-optimization problem. Then, a new algorithm for frequency detection is derived via the method of Lagrange multiplier. MATLAB simulation shows that our approach has good tracking ability and noise reduction. Finally, a high speed VLSI architecture is designed and implemented according to the proposed algorithm. After hardware simulation, the chip area and clock rate of the whole architecture is 1804×1804um2 and 75MHz respectively by using 0.35um COMS 1P4M technology.

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M3 - Conference article

AN - SCOPUS:0035030193

VL - 626

JO - Materials Research Society Symposium - Proceedings

JF - Materials Research Society Symposium - Proceedings

SN - 0272-9172

T2 - Thermoelectric Materials 2000-The Next Generation Materials for Small-Scale Refrigeration and Power Generation Applications

Y2 - 24 April 2000 through 27 April 2000

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