The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste artigo, propomos o filtro de ortogonalização de código (COF) baseado em antena de arranjo adaptativo usando inversão de matriz de amostra com matriz de correlação comum (CCM-SMI) de sinais no domínio do tempo para sistemas DS/CDMA multiportadoras. O sistema de antena convencional calcula o peso usando a matriz de correlação dos sinais de subportadoras individuais. Por outro lado, nosso sistema proposto calcula o peso usando a matriz de correlação dos sinais no domínio do tempo antes da operação da FFT, de modo que pode reduzir o tempo de cálculo e a complexidade do cálculo do peso do que o esquema convencional, para manter o desempenho do sistema. Além disso, consideramos o filtro de ortogonalização de código para reduzir o demérito do sistema de antenas de arranjo adaptativo usando algoritmo de inversão de matriz de amostra com matriz de correlação comum que requer grande complexidade computacional enquanto o ambiente do sinal muda frequentemente. Nosso sistema proposto obtém um vetor de resposta de canal mais preciso usando COF do que o CCM-SMI convencional baseado no filtro casado, sem aumentar o tamanho da matriz. O desempenho é avaliado em termos de probabilidade de erro de bit. A partir dos resultados da análise e simulação, mostra-se que o esquema proposto atinge melhor desempenho de BER do que o sistema convencional.
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Chang-Jun AHN, Iwao SASASE, "Code Orthogonalizing Filter Based Adaptive Array Antenna Using Common Correlation Matrix of Time Domain Signals for Multicarrier DS/CDMA Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 7, pp. 1604-1611, July 2002, doi: .
Abstract: In this paper, we propose the code orthogonalizing filter (COF) based adaptive array antenna using sample matrix inversion with common correlation matrix (CCM-SMI) of time domain signals for multicarrier DS/CDMA systems. The conventional array antenna system calculates the weight using the correlation matrix of individual subcarrier's signals. On the other hand, our proposed system calculates the weight using the correlation matrix of time domain signals before FFT operation, so it can reduce the calculation time and the complexity of weight calculation than the conventional scheme, to maintain the system performance. Moreover, we consider the code orthogonalizing filter to reduce the demerit of adaptive array antenna system using sample matrix inversion algorithm with common correlation matrix that requires heavy computational complexity while the signal environment frequently changes. Our proposed system obtains more accurate channel response vector using COF than that of the conventional CCM-SMI based on the matched filter, without increasing the matrix size. The performance is evaluated in term of bit error probability. From the analysis and simulation results, it is shown that our proposed scheme achieves better BER performance than that of the conventional system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_7_1604/_p
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@ARTICLE{e85-a_7_1604,
author={Chang-Jun AHN, Iwao SASASE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Code Orthogonalizing Filter Based Adaptive Array Antenna Using Common Correlation Matrix of Time Domain Signals for Multicarrier DS/CDMA Systems},
year={2002},
volume={E85-A},
number={7},
pages={1604-1611},
abstract={In this paper, we propose the code orthogonalizing filter (COF) based adaptive array antenna using sample matrix inversion with common correlation matrix (CCM-SMI) of time domain signals for multicarrier DS/CDMA systems. The conventional array antenna system calculates the weight using the correlation matrix of individual subcarrier's signals. On the other hand, our proposed system calculates the weight using the correlation matrix of time domain signals before FFT operation, so it can reduce the calculation time and the complexity of weight calculation than the conventional scheme, to maintain the system performance. Moreover, we consider the code orthogonalizing filter to reduce the demerit of adaptive array antenna system using sample matrix inversion algorithm with common correlation matrix that requires heavy computational complexity while the signal environment frequently changes. Our proposed system obtains more accurate channel response vector using COF than that of the conventional CCM-SMI based on the matched filter, without increasing the matrix size. The performance is evaluated in term of bit error probability. From the analysis and simulation results, it is shown that our proposed scheme achieves better BER performance than that of the conventional system.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Code Orthogonalizing Filter Based Adaptive Array Antenna Using Common Correlation Matrix of Time Domain Signals for Multicarrier DS/CDMA Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1604
EP - 1611
AU - Chang-Jun AHN
AU - Iwao SASASE
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2002
AB - In this paper, we propose the code orthogonalizing filter (COF) based adaptive array antenna using sample matrix inversion with common correlation matrix (CCM-SMI) of time domain signals for multicarrier DS/CDMA systems. The conventional array antenna system calculates the weight using the correlation matrix of individual subcarrier's signals. On the other hand, our proposed system calculates the weight using the correlation matrix of time domain signals before FFT operation, so it can reduce the calculation time and the complexity of weight calculation than the conventional scheme, to maintain the system performance. Moreover, we consider the code orthogonalizing filter to reduce the demerit of adaptive array antenna system using sample matrix inversion algorithm with common correlation matrix that requires heavy computational complexity while the signal environment frequently changes. Our proposed system obtains more accurate channel response vector using COF than that of the conventional CCM-SMI based on the matched filter, without increasing the matrix size. The performance is evaluated in term of bit error probability. From the analysis and simulation results, it is shown that our proposed scheme achieves better BER performance than that of the conventional system.
ER -