Photonic Radar · Implementation of Long Reach Hybrid Photonic Radar System and convergence over FSO and PON Networks

The conventional radar systems, operating in mm-wave (MMW) i.e. beyond 30 GHz, are exposed to high free-path losses (≥ 1 dB/km) and the situation becomes more punitive under severe environment conditions, for instance, Heavy rain and fog. Moreover, the traditional radar distribution networks are realized with conventional cables or space-feeds that results in a massive, complex and inflexible system. To overcome these issues, the hybrid photonic-based radar system (PHRAD) emerges as a promising candidate, providing low-loss, immunity to EM interference and high bandwidth capacity. These robust properties of photonics play a vital role in realization of PHRAD transceiver with improved navigation and detection. Although, the possibility of multiband PHRAD, capable to work in both S-and X-band, becomes feasible that reduces the weight, size and cost of the system. Alternatively, the state-of-the-art electronic techniques have not the required potential to make such radars feasible. The key goal of the proposed project is to develop a PHRAD transceiver tunable over a wide frequency range (≥ 40GHz) and immune to phase fluctuations in order to realize a robust navigation and detection system capable of providing high imagery-resolution and accuracy. The proposed work will be carried out in three phases. In phase I, Mode lock Lasers will be cultivated to generate wide-range and phase-stable radar signals in MMW. These wide-bandwidth signals (40-80GHz) will help to provide high imagery-resolution with accurate speed-computation of objects that lead to a reliable and secure navigation to the autonomous vehicles. In phase II, a multiband PHRAD transceiver will be designed to provide high frequency-flexibility that provides capability to track any frequency signal within S-or X-band. The phase III is dedicated to the implementation of the developed multiband PHRAD in real-time environment, especially in intelligent transport system (ITS), for its testing and evaluation.