At Artech House, we ask our authors what problems their books can help readers solve. In this series, we share what our authors aim to do in their writing. Read on to find out what Yefim Poberezhskiy, who, along with Gennady Poberezhskiy, wrote Signal Digitization and Reconstruction in Digital Radios had to say.
Digitization and Reconstruction techniques problems SOLVED
What are some problems your book can help readers solve?
- Avoid mistakes and accelerate development and design of all types of digital radios (including software defined and cognitive radios) and other equipment where digitization and/or reconstruction of analog signals take place.
- Significantly improve performance of digital radios and aforementioned equipment by optimizing their digitization and/or reconstruction circuits.
- Determine the required dynamic range of a receiver for given statistical characteristics of multiple interfering signals.
- Develop and design new generations of digitization and reconstruction circuits based on the sampling theorem’s hybrid and direct interpretations, which radically improve the key characteristics (dynamic range, attainable bandwidth, flexibility, scale of integration, power consumption, etc.) of digital radios and aforementioned equipment.
- Develop and design new generations of general-purpose A/Ds and D/As with internal antialiasing and interpolating filtering, significantly increased functionality and improved parameters, produced as field-programmable ASICs.
- Develop and design new generations of quantizers with increased sensitivity, resolution, and speed based on new principles including joint quantization of several samples and/or predictive quantization with instantaneous adjustment of resolution.
- Implement AQ-DBPSK modulation that provides high energy efficiency, simplifies signal reconstruction in transmitters, and allows reliable reception with fast synchronization in channels with significant frequency offsets between transmitters and receivers.
- Implement new methods of spatial interference suppression, one of which (two-stage suppression) protects the input circuits of receivers and provides the strongest suppression of interfering signals and another one (based on virtual antenna motion) can suppress almost unlimited number of interfering signals arriving from wide angular sectors without increasing the processing complexity.
Features and applications of Digitization and Reconstruction in digital radios
What are the features of your book and the specific benefits a reader can expect to derive from those features?
1. Feature: Detailed description of analog, discrete-time, and digital operations comprising digitization and reconstruction of signals in all digital radios (including software defined and cognitive radios) and explanation of their sequences and their reasons.
Benefit: Profound understanding by engineers of technical, physical, and mathematical substances of these operations that allows avoiding design mistakes, accelerating the development and design of digital radios (and other equipment where digitization and/or reconstruction take place), and significant improvement of their performance.
2. Feature: Clarification of factors limiting receiver dynamic range and presented methodology of determining the minimum required dynamic range of receivers operating in presence of multiple interfering signals.
Benefit: Accelerating the development and design of digital radios and reducing the cost of the radios as well as their design.
3. Feature: Explanation of the sampling theorem’s constructive nature and demonstration that this theorem allows not only currently used indirect interpretation but also direct and hybrid ones.
Benefit: Development of new generations of digitization and reconstruction circuits of digital radios and other equipment as well as general-purpose A/D and D/A based on the sampling theorem’s direct and hybrid interpretations. These generations will radically improve the key characteristics (dynamic range, attainable bandwidth, flexibility, scale of integration, power consumption, etc.) of digital radios and other equipment.
4. Feature: Description and analysis of conceptual structures of novel digitization and reconstruction circuits based on the sampling theorem’s direct and hybrid interpretations.
Benefit: Accelerating the development of new generations of digitization and reconstruction circuits as well as general-purpose A/D and D/A based on the sampling theorem’s direct and hybrid interpretations.
5. Feature: Demonstration that the optimality of real-word sampling and interpolating circuits cannot be assessed within the scope of the sampling theory.
Benefit: Understanding the necessity of expanding the theoretical basis of these circuits by including in it, besides the sampling theory, the theories of linear and nonlinear circuits, optimal filtering, etc.
6. Feature: Demonstration of the possibility to utilize joint quantization of several samples and predictive quantization with instantaneous adjustment of resolution for improving the performance of quantizers.
Benefit: Develop and design new generations of quantizers with increased sensitivity, resolution, and speed based on new principles including joint quantization of several samples and predictive quantization with instantaneous adjustment of resolution.
7. Feature: Description and analysis of AQ-DBPSK modulation that provides high energy efficiency, simplifies signal reconstruction in transmitters, and allows reliable signal reception with fast synchronization in channels with significant frequency offsets between transmitters and receivers.
Benefit: Possibility to implement AQ-DBPSK modulation and utilize its advantages.
8. Feature: Concise description and analysis of new methods of spatial interference suppression.
Benefit: Possibility to implement the aforementioned methods, one of which (two-stage suppression) protects the input circuits of receivers and provides the strongest suppression of interfering signals and another one (based on virtual antenna motion) can suppress almost unlimited number of interfering signals arriving from wide angular sectors without increasing the processing complexity.
For System and Circuit Design Engineers
Please name the audiences at which this book is aimed.
- Systems Engineers (incl. Senior/Principal Engineers, Architects, etc.) specializing in analog, digital, and/or mixed-signal processing and design of radios or other equipment where D&R of analog signals take place.
- Circuit Design Engineers (incl. Senior/Principal Engineers, etc.) specializing in analog, digital, mixed-signal, and/or RF circuits design.
- Scientists (incl. Senior and Leading Scientists) specializing in research and development of analog, digital, and mixed-signal processing algorithms and hardware
- Graduate EE Students
- Engineering managers of various levels
- Professors of EE departments
How will this audience use your book?
- Improve their knowledge on the subjects presented in the book,
- Apply novel techniques described in the book to their specific development and/or design projects,
- Select innovative concepts suggested in the book for further development in the future projects and programs of their companies or organizations
- Determine the technology development trends.
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