Title :
Statistical Modeling of the Interference Noise Generated by Computing Platforms
Author :
Alban, Eduardo X. ; Magana, Mario E. ; Skinner, Harry G. ; Slattery, Kevin P.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
fDate :
6/1/2012 12:00:00 AM
Abstract :
The trend of electronic systems toward higher integration and higher performance has also brought new challenges to the design of radio transceivers. The decrease of switching times accompanied by the increase of clock speeds, data rates, and interconnection speeds contribute to improve the overall system performance. At the same time, they also affect wireless communications due to an increment of the emissions of electromagnetic radiation. In this paper, we show that the statistics of the baseband components of the noise follow the K-distribution. The one-sided version of this distribution has been derived before as a model for the envelope of sea echo in radar and sonar, however, we show here that its two-sided version can also be used to model the interference noise that affects a transceiver located inside a computer platform. The model shows good agreement with experimental measurements. Also, a closed-form expression of the bit error rate (BER) and some bounds are computed.
Keywords :
electromagnetic waves; error statistics; radio networks; radio transceivers; radiofrequency interference; statistical distributions; BER; K-distribution; bit error rate; clock speeds; computing platforms; data rates; electromagnetic radiation emission; electronic systems; interconnection speeds; interference noise statistical modeling; noise baseband component statistics; radar; radio transceiver design; sea echo; sonar; switching times; wireless communications; Baseband; Bit error rate; Broadband antennas; Computational modeling; Hidden Markov models; Interference; Noise; Bit error rate; K-distribution; platform noise;
Journal_Title :
Electromagnetic Compatibility, IEEE Transactions on
DOI :
10.1109/TEMC.2011.2164255