2018
DOI: 10.1109/jphot.2018.2848248
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Performance Optimization by Nonparametric Histogram Estimation for Low Resolution in IMDD-OQAM-OFDM System

Abstract: In this paper, for the first time, we propose a nonparametric histogram estimation (NPHE) scheme for the nonuniform quantization in intensity modulated direct detection with filter bank multicarrier signal to improve system performance. By combining the NPHE scheme and the common nonlinear programming method, the distribution of offset quadrature amplitude modulation based optical orthogonal frequency division multiplexing (OQAM-OFDM) signal is accurately estimated and then it is used to achieve the optimal no… Show more

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Cited by 18 publications
(5 citation statements)
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References 23 publications
(30 reference statements)
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“…Then, SVEM equations in (21) could be further abbreviated as in (23). To obtain the solution of (23), VENE methods based on the use of specially designed pilot blocks will be analyzed in the following discussion.…”
Section: Theory Of the Svem Model And Vene Methodsmentioning
confidence: 99%
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“…Then, SVEM equations in (21) could be further abbreviated as in (23). To obtain the solution of (23), VENE methods based on the use of specially designed pilot blocks will be analyzed in the following discussion.…”
Section: Theory Of the Svem Model And Vene Methodsmentioning
confidence: 99%
“…Preamble blocks for performing VENE have been designed according to Fig.2. In order to simplify the generating of the pseudo pilots, we place nulls at the first, the third and the fifth preamble blocks, while the second and the fourth blocks are loaded with OQAM pilots so as to obtain the solution for (23).…”
Section: Theory Of the Svem Model And Vene Methodsmentioning
confidence: 99%
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“…On the other hand, non-uniform quantization is another effective method to reduce the required number of quantization bits. To date, some non-uniform quantization schemes with low-bit resolution have been presented, achieving the improved quantization performance to some extent [9][10][11][12][13][14][15]. To be specific, these non-uniform quantization schemes mainly include the A-law quantization [9,10], Lloyd quantization [11], non-parametric histogram estimation (NPHE) [12], Gaussianlike estimation (GLE) [13,14] and other novel quantization schemes [15].…”
mentioning
confidence: 99%
“…To date, some non-uniform quantization schemes with low-bit resolution have been presented, achieving the improved quantization performance to some extent [9][10][11][12][13][14][15]. To be specific, these non-uniform quantization schemes mainly include the A-law quantization [9,10], Lloyd quantization [11], non-parametric histogram estimation (NPHE) [12], Gaussianlike estimation (GLE) [13,14] and other novel quantization schemes [15]. Nevertheless, these above-mentioned quantization schemes either have the fixed quantization levels which cannot be adjusted adaptively according to the actual distribution of input signal, or need to extra estimation the probability density function (PDF) of the signal, which increases the complexity of the quantization operation.…”
mentioning
confidence: 99%