Emerging RF systems utilize multiple frequency bands to facilitate multi-function operations and to adapt to dynamic transmission conditions, making multiband RF systems an essential infrastructure for applications in the commercial, defense, and civilian federal marketplace. While multiband RF systems are the backbone for intelligence, surveillance, and reconnaissance, as well as for supporting data-intensive physical weaponry in the battlefield; Civilians also rely on multiband RF systems for all types of day-to-day applications including smart home system control, entertainment, virtual reality and augmented reality learning. With the recent development of 5G networks, the spectrum of multiband networks could spend from hundreds of MHz to tens of GHz range, which could support new applications and improve the quality of services. The benefits associated with using multiband and wideband RF technologies can only be realized if it is possible to dynamically manipulate the ultra-wide multiband spectrum to ensure high-quality transmission performance. This is challenging, however, as the bandwidth of multiband RF signal could be as wide as several GHz with a center frequency from hundreds of MHz to tens of GHz range, and neither RF electronics nor digital signal processing are capable of dynamically manipulating spectrum of GHz wide. In this paper, we will present our recent advancement on novel photonic systems for dynamically manipulating the wide RF spectrum for multiband and wideband emerging RF systems.
Spike processing is one kind of hybrid analog-digital signal processing, which has the efficiency of analog processing
and the robustness to noise of digital processing. When instantiated with optics, a hybrid analog-digital processing
primitive has the potential to be scalable, computationally powerful, and have high operation bandwidth. These devices
open up a range of processing applications for which electronic processing is too slow. Our approach is based on a
hybrid analog/digital computational primitive that elegantly implements the functionality of an integrate-and-fire neuron
using a Ge-doped non-linear optical fiber and off-the-shelf semiconductor devices. In this paper, we introduce our
photonic neuron architecture and demonstrate the feasibility of implementing simple photonic neuromorphic circuits,
including the auditory localization algorithm of the barn owl, which is useful for LIDAR localization, and the crayfish
tail-flip escape response.
Using optical processing techniques, we experimentally enhance the physical layer security of optical communication
systems. We exploit optical encryption using fiber nonlinearity to achieve real time data encryption. By implementing
interleaved waveband switching modulation and variable two-code keying to the system, the security of the data is
further enhanced. Based on spread spectrum, we also demonstrate optical steganography such that the stealth signal is
transmitted underneath system noise. Optical steganography in WDM and optical CDMA systems is experimentally
demonstrated. We also propose and study optical CDMA-based backup channels that improve service availability
without wasting the bandwidth in the backup channel. The multi-layered security provided improves the confidentiality
and availability of the network.
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