Adaptive Low-Power Circuits for Wireless Communications by Aleksandar Tasic, Wouter A. Serdijn, John R. Long

By Aleksandar Tasic, Wouter A. Serdijn, John R. Long
With 1000000000 – quickly to be billion - mobile phones in flow, the following problem is to make mobile radio capabilities adaptive to their surroundings. This e-book offers a entire theoretical framework for optimizing functionality, discussing joint optimization of Noise determine and enter Intercept element in receiver structures. additionally tested are unique strategies to optimize voltage managed oscillators and low-noise amplifiers, minimizing strength intake whereas protecting sufficient method functionality.
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Extra info for Adaptive Low-Power Circuits for Wireless Communications (Analog Circuits and Signal Processing)
Sample text
39) Transforming Eq. 39) into a dB-scale, the linear input-referred power product becomes P >dB@ 2 IIP 3 IIM 3 . 7: Dynamic range analysis. 41) where nf 10log KTB NF . 42) K is Boltzmann’s constant, T is the absolute temperature, and NF is the noise figure. On the other hand, the minimum input power (PMIN) refers to the signal power that provides a system with a desired minimal (output) signal-to-noise ratio SNRO,MIN. This is given by Eq. 43). 43) Finally, the SFDR is obtained (Eq. 44), [2]) as a difference between PMAX and PMIN.
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991-1024, May/June 1967. [37] S. A. Maas, Nonlinear Microwave Circuits, Norwood, MA: Artech House, 1988. [38] P. Wambacq and W. M. C. Sansen, Distortion Analysis of Analog Integrated Circuits, Kluwer Academic Publishers, Boston, 1998. [39] S. Narayanan, “Intermodulation Distortion of Cascaded Transistors,” IEEE Journal of Solid-State Circuits, vol. SC-4, no. 3, pp. 97-106, Jun 1969. [40] B. P. Gross, “Calculating the Cascade Intercept Point of Communications Receivers”, Ham Radio, pp. 50-52, August 1980.