DAI Dameng and MU Dejun, “An AP-DE Algorithm Based on Multi-step Gradient Method,” Chinese Journal of Electronics, vol. 25, no. 1, pp. 146-151, 2016, doi: 10.1049/cje.2016.01.022
Citation: DAI Dameng and MU Dejun, “An AP-DE Algorithm Based on Multi-step Gradient Method,” Chinese Journal of Electronics, vol. 25, no. 1, pp. 146-151, 2016, doi: 10.1049/cje.2016.01.022

An AP-DE Algorithm Based on Multi-step Gradient Method

doi: 10.1049/cje.2016.01.022
Funds:  This work is supported by the National Natural Science Foundation of China (No.61501331), the Key Project of Natural Science Foundation of Zhejiang Province (No.LZ14F010002), and the Public Welfare Project of Zhejiang Province (No.2014C31079, No.2012C21048).
  • Received Date: 2014-01-14
  • Rev Recd Date: 2014-04-06
  • Publish Date: 2016-01-10
  • Aim to improve the convergence of the adaptive filtering, based on the multi-step gradient method, a new affine projection algorithm with direction error is presented. The statistical behavior of the proposed algorithm is analyzed. The deterministic recursive equations for the weight error and for the Mean-square error (MSE) are derived in the weight update direction of the adaptive filtering. The steady-state MSE is also obtained. Simulation results show that the proposed algorithm improve the adaptive filtering convergence and corroborate the theoretical analytical results.
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