We present design and analysis of an all-optical 2:1 and 4:1 multiplexer. With the ever-growing demand for high-speed data communication, there is a need for an efficient and reliable optical multiplexing technology. Our research aims to revolutionize optical signal processing by leveraging the unique properties of optical micro ring resonator to enhance their multiplexing capabilities. Through detailed simulations and analyses, we showcase the effectiveness and feasibility of the proposed design and highlight the potential for achieving high-speed data transmission in optical networks. Logic gates serve as the fundamental building blocks for creating combinatorial and sequential models. However, existing architectures often require numerous micro-ring resonators for the development of logic gates such as AND, OR, and NOT, which results in significant space consumption. To address this issue, we have designed and simulated a 4:1 optical multiplexer by utilizing a combination of a 2:1 optical multiplexer and reversible micro-ring resonator.
Photonic radar is found to be a promising technology as compared to conventional electrical radar, with respect to its property and limitations. Because of photonics incredible features, it is possible to upgrade the radar potential, mainly for ground-based transport tracking. Hence enhancing traffic safety and driverless automobile movement. There has been always a major requirement of low phase noise sources for various applications in radar as well as any other electronic devices ranging at higher frequencies. In this paper, Optoelectronic Oscillator (OEO) at 77 GHz has been designed and simulated with respective specifications. The OEO signal has been generated using only one single wavelength of 1550nm as input, which is fed to the modulator along with the noise source signal. The OEO and its integration with the Frequency Modulated Continuous wave (FMCW) based Photonic Radar has been performed. The designed photonic Radar has been simulated with different target scenarios with a different range, range rate, Radar Cross Section (RCS), and Angle of arrival (AOA). The target scenario has been shown in the Opti wave system using MATLAB block, where a script is written for target parameters. Also, the transmitted echo signal has been created using the time function block in the Optiwave system. The resulting beat frequency waveform for 30, 60m, and 90m has also been included. The design of OEO in this paper is having a noise floor of -110dBc/Hz. It could be further improved with the modification of sub-blocks of the system.
Integrated Optic Micro ring Resonator-based sensors are suitable for lab-on-chip applications due to their smaller footprint. Optical sensors are sensitive to detecting small changes in external parameters. Simultaneous detection of multiple gases present in the atmosphere is crucial for several civilian and military applications. Integrated optic micro ring resonators are promising sensing devices. In this paper, machine learning techniques are used in the classification and detection of gases for a sensor of a Micro Ring Resonator (MRR) array . In this paper machine learning techniques are used to reduce the data to be used for the analysis and improve accuracy of the sensor. Three target gases in the proposed model are Ammonia, Methane and Carbon on each ring simulated in this work. The features and influences on wavelength, transmittance, concentration of gases, and ring radius have also been analyzed. Principal Component Analysis (PCA) and K-Clustering algorithm has been used for the classification and detection of different gases. The Davies Boulden Index is calculated as 0.57 which shows the distance between the clusters. The sensor has a sensitivity of 0.35 nm/ppm.
Silicon-On- Insulator (SOI) technology has huge potential in fabricating compact devices for various applications such as integrated optic waveguides, directional couplers, resonators etc. In this work, we present the analysis of a biosensor based on an integrated optic racetrack resonator, interrogated by a bus waveguide. The biomaterial is applied as a cladding layer. Here we analyze the coupling between the resonator and the bus waveguide, and its dependence on the bio layer. In traditional analysis, the effective refractive index and resonator total path length are the factors influencing the resonant wavelength. Our analysis shows that all parametric values decrease with increase in waveguide width and spacing. The inclusion of waveguide mode overlap and perturbation in coupled mode equation results in enhanced resonator sensitivity of an order of magnitude
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