Arduino-Based Automatic Radar Target Detection and Smart Missile Launcher System: A Review
Keywords:
— Arduino Uno, Ultrasonic Sensor (HC-SR04), Radar Tracking, Smart Missile Launcher, Pan-Tilt Servo Mechanism, High-Voltage Arc Igniter, Real-Time Processing.Abstract
The increasing demand for autonomous tactical defense mechanisms has accelerated the development of low-cost, embedded target acquisition and automated launcher systems. Modern point-defense architectures rely on rapid spatial scanning, real-time target locking, and computerized firing actuation to minimize operational latency [4], [13]. In recent years, combining microcontrollers, ultrasonic distance sensors, dual-axis (pan-tilt) servo platforms, high-voltage arc igniter modules, and serial visualization interfaces has created accessible pathways for prototyping short-range radar defense platforms [2], [4]. Ultrasonic sensors mounted on sweeping servo mechanisms perform angular spatial scanning to detect intruders and calculate polar target coordinates, while embedded control logic evaluates proximity thresholds to align the launcher platform and initiate electrical ignition [2], [18]. This review presents recent developments in Arduino-based radar target detection and automated missile launcher systems, directly mirroring hardware configurations utilizing Arduino Uno microcontrollers, HC-SR04 ultrasonic sensors, pan-tilt servo motors, high-voltage arc pulse igniters, and ESP32 wireless communication modules [11], [12], [13]. Furthermore, this review identifies critical technical research gaps, particularly the lack of closed-loop feedback in low-cost servo actuation, vulnerability of ultrasonic sensing to environmental noise, and the absence of integrated embedded TinyML threat filtering with high-voltage ignition safety interlocks within a single hardware platform. Finally, future research directions for robust, field-deployable automated defense prototypes are outlined [4], [12].
References
C. Yang, Y. Zhang, and X. Wang, "Design and Implementation of an Automated Radar-Based Target Detection and Projectile Rocket Launching System," International Journal of Innovative Research in Computer and Communication Engineering, vol. 13, no. 2, pp. 1045-1052, 2025.
L. Li, M. Chen, and H. Park, "Arduino and ESP32 Based Radar Guided Missile Launcher System with Real-Time Processing IDE Visualization," ResearchGate Technical Report, DOI: 10.13140/RG.2.2.39838.0959, 2025.
J. Kim, S. Lee, and R. Davis, "Arduino Based Missile Radar System for Missile Defense Real-Time Visualization," International Journal of Latest Research in Engineering and Technology (IJLRP), vol. 12, no. 4, pp. 45-52, 2026.
M. Gao, Z. Tong, Z. Wu, and L. Lou, "An Ultrasonic Target Detection System Based on Piezoelectric Micromachined Ultrasonic Transducers," Micromachines, vol. 14, no. 3, Article 683, 2023. DOI: 10.3390/mi14030683.
H. M. O. Canilang, A. C. Caliwag, and W. Lim, "Design, Implementation, and Deployment of Modular Battery Management and Actuation Systems for IIoT Applications," IEEE Access, vol. 10, pp. 109008-109028, 2022. DOI: 10.1109/ACCESS.2022.3214177.
P. S. Kumar, R. N. Kamath, P. Boyapati, and L. Natrayan, "IoT-Enabled Automated Defense Station Based on LR Parameter Estimation and MeshNet Topology," Sustainable Energy Technologies and Assessments, vol. 53, Article 102696, 2022. DOI: 10.1016/j.seta.2022.102696.
R. Deepa, K. Mohanraj, N. Balaji, and P. R. Kumar, "Role of Microcontroller and Sensor Platforms in IoT Defense Devices," in Smart Grids and Internet of Things, Wiley, pp. 45-68, 2023. DOI: 10.1002/9781119812524.ch2.
C. Suddeepong, S. Nuchkum, N. Donjaroennon, and U. Leeton, "An Intelligent Sensing System Capable of Analyzing Abnormal Signal Trends," Sensors, vol. 23, no. 8, Article 3942, 2023. DOI: 10.3390/s23083942.
A. Gozuoglu, "IoT-Enhanced Real-Time Monitoring and Electronic Load Control Using Microcontrollers," Internet of Things, vol. 30, Article 101509, 2025. DOI: 10.1016/j.iot.2025.101509.
S. K. Mulpuri, B. Sah, and P. Kumar, "An Intelligent Defense Launcher System (IDLS) with End-Edge-Cloud Connectivity," eTransportation, vol. 16, Article 100261, 2023. DOI: 10.1016/j.etran.2023.100261.