Parallel Implementation of a Kalman-Based Sinusoidal Estimator

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概要

• 論文の詳細を見る

• Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.

• 一般社団法人電子情報通信学会の論文
• 2001-12-01

著者

• Nishiyama Kiyoshi

  The Dep.of Comp.&info.science Iwate University

• Nishiyama Kiyoshi

  The Dep. Of Comp. & Info. Science Iwate University

関連論文

• A Nonlinear Multiple Complex Sinusoidal Estimator
• Parallel Implementation of a Kalman-Based Sinusoidal Estimator
• Algorithm Understanding of the J-Fast H_∞ Filter Based on Linear Prediction of Input Signal

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