Interference Suppression for Measured Radio Channel Data at 2.45 GHZ

This paper focuses on the cleaning of radio channel measurements using interference suppression (IS) methods. The investigated radio channel was measured in a sub-urban environment at 2.45 GHz with 200 MHz bandwidth. The measurements contain badly corrupted data, where the wideband measurement signal coexists with several "narrowband" (ca. 10-20 MHz) interfering signals. Interference suppression was performed using the backward consecutive mean excision (CME), forward CME (FCME) and limiter CME (LCME) algorithms. The performance of the CME algorithms was of interest. The results verify that it is possible to clean the corrupted channel measurement data with reasonable computational costs