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Abstract
The ultimate objective of this dissertation is to enable photonic technologies for dynamic and adaptive RF signal processing. One of the main driving forces for such an initiative in the near and middle term future come from broadband wireless access networks as well as the growth of fiber links installed in shopping malls, airports, hospitals, stadiums, power plants and other large buildings. However, it is challenging to process different services dynamically and adaptively as emerging RF systems requiring ultra-wide frequency operation range, low communication latency, large data capacity and high information security. In light of increasing functionalities for dynamic and adaptive RF systems, various microwave photonic subsystems are explored to dynamically process from single frequency component to wideband spectrum with enhanced performance in this dissertation. Moreover, recent studies shows that there is intriguing interplay between photonics and microwave signals. The major barrier deterring the exploitation of dynamic and adaptive microwave photonic signal processing is the degree of freedom to manipulate RF-modulated optical signals (e.g. state-of-polarization, wavelengths, etc). Therefore, there is great potential to apply advanced photonic technologies to dynamic and adaptive RF signal processing.
In this dissertation, real-time RF signal measurement and routing is studied to capture the instantaneous frequency information and rapidly switch among multidimensional RF signal properties, including frequency, amplitude and phase to facilitate the development of high-speed, wideband and secure RF signal processing techniques, which will guarantee emerging/future wireless communication technologies, such as Internet of Things and 5G/6G configuration. Next, dynamic RF spectral processing ability is investigated, which incorporates flexible optical spectrum manipulation and photonic finite impulse response in RF heterogeneous multiband filtering, as well as adaptive point-by-point spectral shaping. Furthermore, in security, dynamic is the key to significantly increase the difficulty for the attacker to decipher the security measure. The introduction of optically-enabled dynamic physical RF steganography in signal transmission could open up a new and effective way to protect sensitive information. This dissertation focus on the design of these system architectures and devise novel signal processing algorithms, which are evaluated through both computational simulation and experimental demonstration to achieve dynamic and adaptive RF signal processing.
In this dissertation, real-time RF signal measurement and routing is studied to capture the instantaneous frequency information and rapidly switch among multidimensional RF signal properties, including frequency, amplitude and phase to facilitate the development of high-speed, wideband and secure RF signal processing techniques, which will guarantee emerging/future wireless communication technologies, such as Internet of Things and 5G/6G configuration. Next, dynamic RF spectral processing ability is investigated, which incorporates flexible optical spectrum manipulation and photonic finite impulse response in RF heterogeneous multiband filtering, as well as adaptive point-by-point spectral shaping. Furthermore, in security, dynamic is the key to significantly increase the difficulty for the attacker to decipher the security measure. The introduction of optically-enabled dynamic physical RF steganography in signal transmission could open up a new and effective way to protect sensitive information. This dissertation focus on the design of these system architectures and devise novel signal processing algorithms, which are evaluated through both computational simulation and experimental demonstration to achieve dynamic and adaptive RF signal processing.