Paper
8 May 2003 Bispectrum of the 1/f noise in diodes on quantum dots and wells
Author Affiliations +
Proceedings Volume 5115, Noise and Information in Nanoelectronics, Sensors, and Standards; (2003) https://doi.org/10.1117/12.499828
Event: SPIE's First International Symposium on Fluctuations and Noise, 2003, Santa Fe, New Mexico, United States
Abstract
The bispectrum of the 1/f noise is investigated in the present work. For the Gaussian noise it equals zero. LEDs on self-organized InAs/GaAs quantum dots and laser diodes on In0.2Ga0.8As/GaAs/InGaP quantum wells made in Russia were tested. The voltage noise was analyzed in a wide interval of currents through the diodes. Estimates of the probability density function and semi-invariants of the noise have not revealed any appreciable deviations from the Gauss law. Noise spectra Sv(f)in the range 1 Hz - 20 kHz were analyzed. In most cases the frequency exponent γs of the spectrum is close to one, the Hooge’s parameter αH has magnitude of the order 10-4. The bispectrum Bv(f1,f2of the noise is a complex function of frequencies f1 and f2. Its absolute value is decreasing while moving from the beginning of the frequency plane Of1f2. The decrease along the bisector (f1 = f2 = f) follows the power law characterized by the frequency exponent γB ≈ 1.5 γs. The dependence of the "height" of |Bv(f,f)| on the current through the diode is qualitatively similar to this one for the spectrum. The power law describes these dependences, however the exponents are essentially different.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arkady V. Yakimov, Alexander V. Belyakov, Mikhail Yu. Perov, and Lode J. K. Vandamme "Bispectrum of the 1/f noise in diodes on quantum dots and wells", Proc. SPIE 5115, Noise and Information in Nanoelectronics, Sensors, and Standards, (8 May 2003); https://doi.org/10.1117/12.499828
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KEYWORDS
Diodes

Light emitting diodes

Semiconductor lasers

Quantum dots

Quantum wells

Statistical analysis

Error analysis

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