In the era of wireless technologies, orthogonal frequency division multiplexing (OFDM) techniques and their modifications gained huge popularity. Despite all their benefits they still have several Achilles' heels. One of them is the negative influence of a narrowband or continuous wave (CW) electromagnetic disturbance (EMD). In this paper, a specific CW EMD removal algorithm for OFDM communication systems was investigated for its stability when both a CW EMD and additive white Gaussian noise (AWGN) were affecting the OFDM communication system. By using the spectral leakage phenomenon, the algorithm estimates a mismatch between the subcarriers and CW EMD frequencies and subsequently calculates all the needed CW parameters, i.e. amplitude and phase. The goal of the investigation was to find out which modulation scheme gives the best algorithm's performance. Therefore after a number of simulations on the algorithm with different power variations of CW EMD and AWGN, the results turned out to be better when lower order modulation schemes were in use. These results were explained in the frequency domain as the AWGN's fraction with regard to the CW EMD error was minimum within the subcarriers close to the CW EMD's frequency bin and much higher for other subcarriers. In the end, prepositions on how to maximise the CW removal algorithm's performance under simultaneous CW EMD and AWGN were outlined.
This paper presents a study on the electromagnetic robustness of IO-link Wireless and SmartMesh IP for their use on an agricultural vehicle. Especially the multipath fading due to the reflective nature of the agricultural vehicle is challenging for such wireless communication protocols. The electromagnetic robustness was tested in a double reverberation chamber as well as on an actual combine harvester. Detailed test setups and procedures are in the paper. Throughout the tests, several key parameters related to the quality of service (QoS) of both protocols were monitored with a specific focus on latency and packet error rate (PER). Test results show that both IO-link Wireless and SmartMesh IP experience a decrease in data throughput and an increase in latency in a (semi-)reverberant environment. In particular, transmission power needs to be carefully regulated for IOLW, while SmartMesh IP is dependent on the mesh formation and the distance between its Manager and Motes. Test results also show that a fully reverberant environment is harsher than the actual harvester. Thus, the initial steps were made to dampen the RC with absorbers to comply with the environment created in a harvester, resulting in a comparable PER of 4.1 %.
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