Abstract
Four Wave Mixing (FWM) based optical signal-processing techniques are reviewed. The use of FWM in arithmetical operation like subtraction, wavelength conversion and pattern recognition are three key parts discussed in this paper after a brief introduction on FWM and its comparison with other nonlinear mixings. Two different approaches to achieve correlation are discussed, as well as a novel technique to realize all optical subtraction of two optical signals.
Highlights
Because electronic signal processing systems have a bottleneck of low bandwidth, the use of photonic approaches to realize real time signal processing is becoming increasingly popular [1,2,3,4,5]
Traditional approaches to implement a photonic signal processing unit do not isolate the transmitter from the receiver [2,6] as a Mach-Zehnder modulator (MZM) is typically used to perform the multiplication required for the correlation function
Nonlinear optical mixing like Four Wave Mixing (FWM) is becoming a key interest of research as it can be used to overcome the current limitations
Summary
Because electronic signal processing systems have a bottleneck of low bandwidth, the use of photonic approaches to realize real time signal processing is becoming increasingly popular [1,2,3,4,5] It is desirable in many practical applications that sophisticated signal processing tasks are done remotely and well away from the source of the signal, e.g., an antenna. This approach allows a true remoting of the transmitter.
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