Synchronization of chaotic semiconductor laser dynamics on subnanosecond time scales and its potential for chaos communication

Abstract

We present experimental evidence for the synchronization of two semiconductor lasers exhibiting chaotic emission on subnanosecond time scales. The transmitter system consists of a semiconductor laser with weak to moderate coherent optical feedback and therefore exhibits chaotic oscillations. The receiver system is realized by a solitary semiconductor laser in which a fraction of the transmitter signal is coherently injected. We find that for a considerably large parameter range, synchronized receiver output can be achieved. We discuss the physical mechanism and demonstrate that the receiver acts as a chaos pass filter, which reproduces the chaotic fluctuations of the transmitter laser, but suppresses additionally encoded signals. Signal extraction at frequencies of up to 1 GHz has been achieved. Thus we provide a simple and robust optical chaos synchronization system that is promising for the realization of communication by sending signals with chaotic carriers.

Mutually delay-coupled semiconductor lasers: Mode bifurcation scenarios

“…This ambivalent character of delayed coupling makes this field attractive for fundamental investigations. Furthermore, delay-coupled SLs are promising candidates for different technological applications, such as secure chaos communication [4], ultra-fast optical clocks [5], and optical flip-flops [6].…”

Dynamical scenarios of mutually delay-coupled semiconductor lasers in the short coupling regime

“…Unidirectionally coupled SL can be used for secure data transmission using chaotic carrier signals. 6,7 Furthermore, self-pulsating bidirectionally coupled SL can be applied for optical clock recovery. 8 These fundamental questions and new applications can be studied experimentally with great precision as SL can be manufactured with well defined parameters and laboratory experiments under stable conditions can be carried out.…”

Pinning Impulsive Stabilization of Nonlinear Dynamical Networks With Time-Varying Delay

“…The basic nonlinear dynamical network model will be introduced in various stages starting with a trivial network of decoupled nodes governed by delayed differential equations. A neural network is a mathematical model consisting of an interconnected group of artificial neurons, which has potential applications in secure communication and pattern recognition [Fischer et al, 2000]. In this paper, the following neural network with time-varying delay [Cao & Ho, 2005] is taken as a single node of the nonlinear dynamical network:ẏ…”