Abstract
The growing needs for high-speed and secure communications create an increasing challenge to the contemporary framework of signal processing. The coexistence of multiple high-speed wireless communication systems generates wideband interference. To protect the security and especially the privacy of users’ communications requires stealth communication that hides and recovers private information against eavesdropping attacks. The major problem in interference management and stealth information recovery is to separate the signal of interest from wideband interference/noise. However, the increasing signal bandwidth presents a real challenge to existing capabilities in separating the mixed signal and results in unacceptable latency. The photonic circuit processes a signal in an analog way with a unanimous frequency response over GHz bandwidth. The digital processor measures the statistical patterns of the signals with sampling rate orders of magnitude smaller than the Nyquist frequency. Under-sampling the signals significantly reduces the workload of the digital processor while providing accurate control of the photonic circuit to perform the real-time signal separations. The wideband mixed signal separation, based on photonic signal processing is scalable to multiple stages with the performance of each stage accrued.
Highlights
High-speed communications boost economic growth by supporting a wide range of applications that are changing the way that Americans live, including the internet of things, unmanned vehicle systems, radars for transportation, and cyber physical systems, to name a few
Interference management has been widely deployed to enable the availability of wireless communication channels [1], and stealth communication hides the existence of the signal and protects users’ privacy in the physical layer [2,3]
For the optical encryption system [12], the interference noise is generated as an radio frequency (RF) sine wave with its frequency changing between 4 GHz to 7 GHz, and applied to a laser frequency of 1550.12 nm, the bandwidth of the interference is tested from 4 GHz to 7 GHz with an average cancellation of 26 dB, which is wide enough to encrypt and protect a signal with the data rate of
Summary
High-speed communications boost economic growth by supporting a wide range of applications that are changing the way that Americans live, including the internet of things, unmanned vehicle systems, radars for transportation, and cyber physical systems, to name a few. Interference management has been widely deployed to enable the availability of wireless communication channels [1], and stealth communication hides the existence of the signal and protects users’ privacy in the physical layer [2,3] Both interference management and stealth communication require the processing and separation of the signal of interest (SOI) from interference and noise in real-time, while the growing needs of communication dramatically increase the bandwidth of the signals and create an increasing challenge to the contemporary framework of signal processing. The photonic methods require strict matching conditions between physical parameters to achieve optimized signal separation Such a matching condition can be identified in a point-to-point stationary link [7], while in a network, the physical parameters, such as wireless channel coefficients, private keys to recover the stealth signal, scales up with the number of nodes in the network and is changing over time. The fundamental idea of collaborative innovations in both hardware and software will continue shaping the network
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