In this paper an efficient kernel affine projection algorithm using dichotomous coordinate descent iterations is proposed. The effectiveness of the proposed algorithm for nonlinear system identification and forward pr...
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ISBN:
(纸本)9789531841948;9789531841870
In this paper an efficient kernel affine projection algorithm using dichotomous coordinate descent iterations is proposed. The effectiveness of the proposed algorithm for nonlinear system identification and forward prediction is confirmed by computer simulations.
Due to the capability of supporting high-speed data communication with low energy cost, visible light communication has emerged as a promising supplement to radio frequency communications. However, the inherent nonlin...
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Due to the capability of supporting high-speed data communication with low energy cost, visible light communication has emerged as a promising supplement to radio frequency communications. However, the inherent nonlinearity caused by the light emitting diode could distort the signal, and thus posing a challenging problem for the system performance. In order to mitigate the nonlinear effect, reproducing kernel Hilbert spaces based schemes are recently investigated, where the minimum symbol error rate (MSER) criterion is proposed as a more suitable criterion compared to the commonly used minimum mean square error (MMSE), since MSER directly optimizes the symbol error rate. In this paper, we present a new post-distortion scheme by exploiting the MSER criterion based kernel affine projection algorithm to combat the signal distortion. In addition, to avoid the linearly increased computational complexity, the surprise criterion is introduced for sparsification. Simulations are carried out to validate the performance, and the numerical results show that the proposed method can obtain remarkable performance improvement over the available algorithms.
With the explosive growth in the demand of spectrum, conventional radio frequency systems are increasingly facing the challenge of catering to high-speed transmissions. Visible light communication (VLC) has been consi...
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With the explosive growth in the demand of spectrum, conventional radio frequency systems are increasingly facing the challenge of catering to high-speed transmissions. Visible light communication (VLC) has been considered as a promising supplement technique, since it can provide efficient energy efficiency and unlimited bandwidth. However, the nonlinearity effect is one of the fundamental problems in the VLC systems, which usually brings distortion to the transmitted signal and deteriorates the system performance. Aiming at this problem, numerous post-distortion schemes are proposed, where the kernel methods over reproducing kernel Hilbert spaces are identified to have successful applications. In this paper, we present a new post-distortion method with low computational cost, by utilizing the conjugate gradient (CG) based kernel affine projection algorithm (KAPA), where the objective parameters are updated adaptively along the conjugate direction. Simulation results show that the proposed CG-KAPA based post-distorter can efficiently mitigate nonlinear impairment in VLC systems, which can provide better bit error rate performance with fast convergence over the commonly-used gradient descent algorithms.
In this paper, two new kernel adaptive algorithms are proposed. An approximation is used in order to derive the pseudo kernel affine projection algorithm and the pseudo kernel proportionate affineprojectionalgorithm...
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ISBN:
(纸本)9781509067480
In this paper, two new kernel adaptive algorithms are proposed. An approximation is used in order to derive the pseudo kernel affine projection algorithm and the pseudo kernel proportionate affineprojectionalgorithm, respectively. The computational efficiency and performance of the proposed algorithms is verified for a nonlinear system identification application.
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