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

Year 2016, , 30 - 32, 01.12.2016

Seda Üstün Ercan , Hülya Gökalp

https://doi.org/10.18100/ijamec.270956

Cited By: 1

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 interference, RF interference, Music, EigenVector, frequency modulated continuous wave

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