Advanced Microwave Photonic Radar Systems Integrated with Artificial Intelligence: Architectures, Algorithms, and Publishing Guidelines

NIKHIL KRISHNAN E K; Divya p

Advanced Microwave Photonic Radar Systems Integrated with Artificial Intelligence: Architectures, Algorithms, and Publishing Guidelines

Author(s)	Mr. NIKHIL KRISHNAN E K, Ms. Divya p
Country	India
Abstract	The paradigm of modern radar systems is undergoing a profound transformation, driven by the synergistic integration of Microwave Photonics (MWP) and Artificial Intelligence (AI). Conventional electronic radar systems increasingly face insurmountable bottlenecks regarding instantaneous bandwidth, phase noise, analog-to-digital converter (ADC) sampling jitter, and signal processing speeds, particularly when operating in dense, clutter-heavy electromagnetic environments. Microwave photonics offers a revolutionary solution, leveraging the ultra-wide bandwidth, flat frequency response, low transmission loss, and electromagnetic interference (EMI) immunity of optical components to generate, transmit, and process radio frequency (RF) signals. Concurrently, the proliferation of Low-altitude, Slow-speed, and Small (LSS) targets—such as unmanned aerial vehicles (UAVs), bionic drones, and stealth autonomous systems—necessitates advanced target classification capabilities that traditional radar signal processing cannot independently provide. By integrating machine learning (ML) models and deep convolutional neural networks (DCNNs), photonic radars can autonomously detect, track, and classify complex micro-Doppler signatures and Inverse Synthetic Aperture Radar (ISAR) images with unprecedented accuracy. This comprehensive research report explores the state-of-the-art developments in AI-integrated photonic radar, including Frequency Modulated Continuous Wave (FMCW) architectures, Mode Division Multiplexing (MDM), self-interference cancellation (SIC), and True Time Delay (TTD) beamforming. Furthermore, this document serves as a rigorous structural guideline for researchers drafting manuscripts in this domain, detailing the specific formatting, nomenclature, and organizational standards required for publishing high-impact studies on AI-enhanced microwave photonics.
Keywords	Advanced Microwave Photonic Radar Systems Integrated with Artificial Intelligence: Architectures, Algorithms, and Publishing Guidelines
Field	Computer
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-03

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Advanced Microwave Photonic Radar Systems Integrated with Artificial Intelligence: Architectures, Algorithms, and Publishing Guidelines

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