Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data

Seda ÜSTÜN ERCAN; Hülya GÖKALP

doi:10.18100/ijamec.270956

Research ArticlesverifiedPeer-ReviewedOpen Access

Pages: 30-32

Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data

Seda ÜSTÜN ERCAN •

Hülya GÖKALP

Publication DateDecember 1, 2016

Volume / IssueVol. , No. (pp. 30-32)

DOI Identifier10.18100/ijamec.270956

subject

Abstract

In-band interference increases the noise floor of delay profiles estimated from frequency modulated continuous wave (FMCW) sounder channel data and prevents weak multipath components from being detected. In this study two of the subspace methods named MUltiple SIgnal Classification (MUSIC) and EigenVector (EV) algorithm were used to reduce the effect of interference in delay profiles obtained from an FMCW channel data, and the results are compared with those from conventional FFT method. Results show that MUSIC and EV methods have similar results for time delay estimation, and perform better than the FFT method.

Keywords:In-band interferenceRF interferenceMusicEigenVectorfrequency modulated continuous wave

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Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data

Abstract

References (13)

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