Download e-book for iPad: 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

ISBN-10: 1402052499

ISBN-13: 9781402052491

ISBN-10: 1402052502

ISBN-13: 9781402052507

With a thousand million – quickly to be billion - mobile phones in move, the subsequent problem is to make mobile radio features adaptive to their surroundings. This booklet offers a accomplished theoretical framework for optimizing functionality, discussing joint optimization of Noise determine and enter Intercept aspect in receiver structures. additionally tested are unique concepts to optimize voltage managed oscillators and low-noise amplifiers, minimizing energy intake whereas preserving enough approach functionality.

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26] B. H. Goldberg, “Predict Intermodulation Distortion”, Electronic Design, pp. 76-78, May 1970. [27] M. E. Goldfarb, “Intermodulation Products,” Microwave Journal, pp. 297-301, May 1985. [28] L. Sheng, C. Jensen and L. E. Larson, “A Wide-Bandwidth Si/SiGe HBT Direct Conversion Sun-Harmonic Mixer/Downconverter”, IEEE Journal of Solid-State Circuits, vol. 35, no. 9, pp. 1329-1337, September 2000. [29] J. , “An Integrated GSM/DECT Receiver: Design Specifications”, UCB Electronics Research Laboratory Memorandum, Memo no.

Due to mismatches in real designs, the distortion that originates from the second-order nonlinearities must be taken into account, even in differential circuits (even components fractional matching below 1% can be critical [28]). , homodyne receivers). This phenomenon is referred to as second-order intermodulation distortion [29]. 2. Performance Parameters of RF Circuits 21 As third-order intermodulation products are located near the desired signal, it is often difficult to filter them out without affecting the information content.

5b. , positive and negative frequencies, and accordingly transfer/suppress parts of spectra. 6: The Weaver architecture. The image signal can also be suppressed by two consecutive downconversions with quadrature LO signals. This is shown in Fig. 6. 7: A double-quadrature downconverter. Image suppression using a double-quadrature downconverter [6-8] is shown in Fig. 7. After the first quadrature downconversion, signals are again converted in quadrature to lower frequencies, allowing for the image cancellation and transfer of the desired signal.

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Adaptive Low-Power Circuits for Wireless Communications (Analog Circuits and Signal Processing) by Aleksandar Tasic, Wouter A. Serdijn, John R. Long

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