Code orthogonalizing filter based adaptive array antenna using common correlation matrix of time domain signals for multicarrier DS/CDMA systems

Chang Jun Ahn, Iwao Sasase

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1604-1611
Number of pages8
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE85-A
Issue number7
Publication statusPublished - 2002 Jul

Keywords

  • Adaptive array antenna
  • Code orthogonalizing filter (COF)
  • Common correlation matrix
  • MC-DS/CDMA
  • Sample matrix inversion (SMI)

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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