Microwave and millimeter wave circuits and systems emerging design, technologies, and applications
"Microwave and Millimeter Wave Circuits and Systems: Emerging Design, Technologies and Applications provides a wide spectrum of current trends in the design of microwave and millimeter circuits and systems. In addition, the book identifies the state-of-the art challenges in microwave and millim...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Chichester, West Sussex
John Wiley & Sons
2012
|
| Series: | Engineering professional collection
|
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- 1.1.7 MBF Model
- the Memoryless PA Behavioural Model of ChoiceAcknowledgements; References; 2 Artificial Neural Network in Microwave Cavity Filter Tuning; 2.1 Introduction; 2.2 Artificial Neural Networks Filter Tuning; 2.2.1 The Inverse Model of the Filter; 2.2.2 Sequential Method; 2.2.3 Parallel Method; 2.2.4 Discussion on the ANN's Input Data; 2.3 Practical Implementation
- Tuning Experiments; 2.3.1 Sequential Method; 2.3.2 Parallel Method; 2.4 Influence of the Filter Characteristic Domain on Algorithm Efficiency; 2.5 Robots in the Microwave Filter Tuning; 2.6 Conclusions; Acknowledgement
- Includes bibliographical references and index
- Microwave and Millimeter Wave Circuits and Systems: Emerging Design,Technologies and Applications; Contents; About the Editors; About the Authors; Preface; List of Abbreviations; List of Symbols; Part I: DESIGN AND MODELING TRENDS; 1 Low Coefficient Accurate Nonlinear Microwave and Millimeter Wave Nonlinear Transmitter Power Amplifier Behavioural Models; 1.1 Introduction; 1.1.1 Chapter Structure; 1.1.2 LDMOS PA Measurements; 1.1.3 BF Model; 1.1.4 Modified BF Model (MBF)
- Derivation; 1.1.5 MBF Models of an LDMOS PA; 1.1.6 MBF Model
- Accuracy and Performance Comparisons
- 4.4.1 Frequency Domain Results4.4.2 Symbol Evaluation Results; References; 5 Impact and Digital Suppression of Oscillator Phase Noise in Radio Communications; 5.1 Introduction; 5.2 Phase Noise Modelling; 5.2.1 Free-Running Oscillator; 5.2.2 Phase-Locked Loop Oscillator; 5.2.3 Generalized Oscillator; 5.3 OFDM Radio Link Modelling and Performance under Phase Noise; 5.3.1 Effect of Phase Noise in Direct-Conversion Receivers; 5.3.2 Effect of Phase Noise and the Signal Model on OFDM; 5.3.3 OFDM Link SINR Analysis under Phase Noise; 5.3.4 OFDM Link Capacity Analysis under Phase Noise
- 3.4.1 Performances of a Diamond Dipole Antenna over the AMC3.4.2 Beam Splitting Identification and Cancellation Method; 3.4.3 Performances with the Hybrid AMC; 3.5 Conclusion; Acknowledgments; References; 4 Characterization of Software-Defined and Cognitive Radio Front-Ends for Multimode Operation; 4.1 Introduction; 4.2 Multiband Multimode Receiver Architectures; 4.3 Wideband Nonlinear Behavioral Modeling; 4.3.1 Details of the BPSR Architecture; 4.3.2 Proposed Wideband Behavioral Model; 4.3.3 Parameter Extraction Procedure; 4.4 Model Validation with a QPSK Signal