- International Journal of Applied Mathematics Electronics and Computers
- Special Issue: (2016) Special Issue
- Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data
Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data
Authors : Seda Üstün Ercan, Hülya Gökalp
Pages : 30-32
Doi:10.18100/ijamec.270956
View : 11 | Download : 7
Publication Date : 2016-12-01
Article Type : Research
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