We previously proposed a unified wireless system called “Flexible Wireless System”. Comprising of flexible access points and a flexible signal processing unit, it collectively receives a wideband spectrum that includes multiple signals from various wireless systems. In cases of simultaneous multiple signal reception, however, reception performance degrades due to the interference among multiple signals. To address this problem, we propose a new signal separation and reconstruction method for spectrally overlapped signals. The method analyzes spectral information obtained by the short-time Fourier transform to extract amplitude and phase values at each center frequency of overlapped signals at a flexible signal processing unit. Using these values enables signals from received radio wave data to be separated and reconstructed for simultaneous multi-system reception. In this paper, the BER performance of the proposed method is evaluated using computer simulations. Also, the performance of the interference suppression is evaluated by analyzing the probability density distribution of the amplitude of the overlapped interference on a symbol of the received signal. Simulation results confirmed the effectiveness of the proposed method.
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Takayuki YAMADA, Doohwan LEE, Hiroyuki SHIBA, Yo YAMAGUCHI, Kazunori AKABANE, Kazuhiro UEHARA, "Signal Separation and Reconstruction Method for Simultaneously Received Multi-System Signals in Flexible Wireless System" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 4, pp. 1085-1092, April 2012, doi: 10.1587/transcom.E95.B.1085.
Abstract: We previously proposed a unified wireless system called “Flexible Wireless System”. Comprising of flexible access points and a flexible signal processing unit, it collectively receives a wideband spectrum that includes multiple signals from various wireless systems. In cases of simultaneous multiple signal reception, however, reception performance degrades due to the interference among multiple signals. To address this problem, we propose a new signal separation and reconstruction method for spectrally overlapped signals. The method analyzes spectral information obtained by the short-time Fourier transform to extract amplitude and phase values at each center frequency of overlapped signals at a flexible signal processing unit. Using these values enables signals from received radio wave data to be separated and reconstructed for simultaneous multi-system reception. In this paper, the BER performance of the proposed method is evaluated using computer simulations. Also, the performance of the interference suppression is evaluated by analyzing the probability density distribution of the amplitude of the overlapped interference on a symbol of the received signal. Simulation results confirmed the effectiveness of the proposed method.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1085/_p
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@ARTICLE{e95-b_4_1085,
author={Takayuki YAMADA, Doohwan LEE, Hiroyuki SHIBA, Yo YAMAGUCHI, Kazunori AKABANE, Kazuhiro UEHARA, },
journal={IEICE TRANSACTIONS on Communications},
title={Signal Separation and Reconstruction Method for Simultaneously Received Multi-System Signals in Flexible Wireless System},
year={2012},
volume={E95-B},
number={4},
pages={1085-1092},
abstract={We previously proposed a unified wireless system called “Flexible Wireless System”. Comprising of flexible access points and a flexible signal processing unit, it collectively receives a wideband spectrum that includes multiple signals from various wireless systems. In cases of simultaneous multiple signal reception, however, reception performance degrades due to the interference among multiple signals. To address this problem, we propose a new signal separation and reconstruction method for spectrally overlapped signals. The method analyzes spectral information obtained by the short-time Fourier transform to extract amplitude and phase values at each center frequency of overlapped signals at a flexible signal processing unit. Using these values enables signals from received radio wave data to be separated and reconstructed for simultaneous multi-system reception. In this paper, the BER performance of the proposed method is evaluated using computer simulations. Also, the performance of the interference suppression is evaluated by analyzing the probability density distribution of the amplitude of the overlapped interference on a symbol of the received signal. Simulation results confirmed the effectiveness of the proposed method.},
keywords={},
doi={10.1587/transcom.E95.B.1085},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Signal Separation and Reconstruction Method for Simultaneously Received Multi-System Signals in Flexible Wireless System
T2 - IEICE TRANSACTIONS on Communications
SP - 1085
EP - 1092
AU - Takayuki YAMADA
AU - Doohwan LEE
AU - Hiroyuki SHIBA
AU - Yo YAMAGUCHI
AU - Kazunori AKABANE
AU - Kazuhiro UEHARA
PY - 2012
DO - 10.1587/transcom.E95.B.1085
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2012
AB - We previously proposed a unified wireless system called “Flexible Wireless System”. Comprising of flexible access points and a flexible signal processing unit, it collectively receives a wideband spectrum that includes multiple signals from various wireless systems. In cases of simultaneous multiple signal reception, however, reception performance degrades due to the interference among multiple signals. To address this problem, we propose a new signal separation and reconstruction method for spectrally overlapped signals. The method analyzes spectral information obtained by the short-time Fourier transform to extract amplitude and phase values at each center frequency of overlapped signals at a flexible signal processing unit. Using these values enables signals from received radio wave data to be separated and reconstructed for simultaneous multi-system reception. In this paper, the BER performance of the proposed method is evaluated using computer simulations. Also, the performance of the interference suppression is evaluated by analyzing the probability density distribution of the amplitude of the overlapped interference on a symbol of the received signal. Simulation results confirmed the effectiveness of the proposed method.
ER -