Abstract
A prototype filter design for FBMC/OQAM systems is proposed in this study. The influence of both the channel estimation and the stop-band energy is taken into account in this method. An efficient preamble structure is proposed to improve the performance of channel estimation and save the frequency spectral efficiency. The reciprocal of the signal-to-interference plus noise ratio (RSINR) is derived to measure the influence of the prototype filter on channel estimation. After that, the process of prototype filter design is formulated as an optimization problem with constraint on the RSINR. To accelerate the convergence and obtain global optimal solution, an improved genetic algorithm is proposed. Especially, the History Network and pruning operator are adopted in this improved genetic algorithm. Simulation results demonstrate the validity and efficiency of the prototype filter designed in this study.
Highlights
As an alternative modulation scheme for the fifth-generation (5G) communication, offset quadrature amplitude modulation-based orthogonal frequency division multiplexing (FBMC/OQAM) outperforms orthogonal frequency division multiplexing (OFDM) with respect to spectral efficiency, side lobes, and sensitivity to asynchronous transmission [1, 2]
Because the proposed prototype filter is designed with constraints on reciprocal of the signal-to-interference plus noise ratio (RSINR) and the noise influence has been taken into account, the proposed prototype filter in this study shows better performance in filtering clutter
A new prototype filter was designed based on the channel estimation (CE) for the FBMC/OQAM system in frequency-selective channels. e proposed method is able to minimize the stop-band energy and increase the CE performance
Summary
As an alternative modulation scheme for the fifth-generation (5G) communication, offset quadrature amplitude modulation-based orthogonal frequency division multiplexing (FBMC/OQAM) outperforms orthogonal frequency division multiplexing (OFDM) with respect to spectral efficiency, side lobes, and sensitivity to asynchronous transmission [1, 2]. Erefore, it will be difficult to set the threshold when the SINR is added to the constraints Under this condition, in this study, the reciprocal of the signal-tointerference plus noise ratio (RSINR) is adopted to measure the influence of noise. Simulation results indicate that the proposed preamble structure achieves outperformance compared to the IAM, the improved GA shows less convergence time and average generations than the proposed GAs in [16, 17]; the designed prototype filter in this study is better than in [23, 24] when it comes to the performance of the stop-band energy and the magnitude response.
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