Blind Bluetooth interference detection and suppression for OFDM transmission in the ISM band

Abstract

Abslmcl-The performance of an OFDM-bawd transmission system according lo IEEE 802.11g can severely sulTer from interfering Blnetmth packets. Therefore, we propose two new approaches for narrow-hand interference suppression a s conntermeasnre. At first, the presence and frequency position of interference is blindly estimated by evaluating either the magnitude variance of the received symbols or the noise power on each snbchannel. For that pnrpme, we present one algorithm baed on dimerentiation in frequency direction, and another one making use of the median filter. After detection, an interference suppression by modsying the softbit magnitudes at the input of the channel decoder leads to a significant improvement of Ihe system performance, as we will show by simulations.

Design of a Low Complexity Interference Detector for LPWA Networks

“…Interference detection techniques have also been proposed for ISM radio communications where many different propa-gation schemes share the same spectrum. For example, for the 2.4 GHz ISM band, an approach to detect and minimize the impact of interference caused by Bluetooth packets to IEEE 802.11g OFDM-based transmissions is proposed in [6]. The authors exploit the OFDM demodulation algorithm to extract useful information from the symbol magnitude for each subcarrier obtained after the demodulation FFT.…”

“…2) divided by the number of times the average, µ CAS , is intersected by the CAS k signal. The computation of ADA is described by (6). The calculation of ADA requires only a few mathematical operations since 1…”

Deriving a Joint Interference Detection and Channel Estimation for WB-OFDM from EM-MAP Theory

“…[6] discusses the topic of IF with the focus on ADC performance in conjunction with an analogue notch filter and assumes partial IF knowledge. The work [7] introduces a blind IF detection which averages data over a whole burst, but leaves the transmitted data unprocessed.…”

EM‐based noise plus interference estimation for OFDM‐based cognitive radio systems

“…However, the proposed algorithm in Reference 3 requires a large amount of data to be processed for an accurate estimate. Based on the rough estimate of the transmitted data symbols, authors in References 4 and 5 considered the estimation of the interference from Bluetooth to IEEE 802.11g WLAN. However, they did not consider the correlation of the interference variances across subcarriers.…”