Cognitive Radio Receiver Front-Ends: RF/Analog Circuit by Bodhisatwa Sadhu, Ramesh Harjani

By Bodhisatwa Sadhu, Ramesh Harjani

This ebook specializes in the structure and circuit layout for cognitive radio receiver front-ends. The authors first offer a holistic clarification of RF circuits for cognitive radio platforms. this can be by means of an in-depth exploration of current options that may be used by circuit designers. assurance additionally contains novel circuit innovations and architectures that may be helpful for designers for cognitive radio systems.

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The slower processing phases allow more settling-time, lowering both the error and the power consumption. 1 Sampler The I and Q inputs are probed into the chip and sampled on the 16 sample phases shown in Fig. 9. 10c shows the pseudo-differential sampler used in CRAFT. Compared to other traditional approaches shown in Fig. 10a, b, this topology provides excellent signal feedthrough cancellation for differential signals. During the sampling hold mode, the following mechanisms cause signal feedthrough and leakage: capacitive feed-through due to the appreciable Cov /C ratio, and sub-threshold leakage dependent on the input as well as the sampled and held voltages (see Fig.

3a. Sub-unity multiplication is performed by stealing charge away from a capacitor using a suitably-sized stealing capacitor (Cs ) as shown in Fig. 3b. These 2 simple operations form the basis of all operations performed in CRAFT. 1) Note that any linear transform with a fixed matrix can be performed using the addition and multiplication techniques outlined above. Due to the inherent attenuation in charge domain operations, the result is a scaled version of the desired transform. 46 5 CRAFT: Charge Re-use Analog Fourier Transform 1 2 3 4 5 6 Fig.

Moreover, in order to isolate the impact of individual non-idealities per stage, it was necessary to enable/disable them independently in simulation. For this design, CRAFT-specific models of dominant non-idealities were developed in MATLAB® . Each non-ideality is modeled as an independent error source that can be enabled in simulation to isolate the impact of each error source. The different operations in CRAFT can be divided into the initial sampling phase, and the subsequent processing phases.

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