Software Defined Radio Based Airplane Blackbox Localization System

The quick and precise localization of airplane black boxes after accidents is a major difficulty in today's aviation industry. The limited capabilities of existing technology make it challenging, particularly in various kinds of environments like land and marine regions, to quickly locate and identify the signals produced by the Black box's beacons. Finding the black boxes takes longer than expected, which could make it more difficult to retrieve important flight data and voice records from the cockpit. This is an issue that must be addressed to increase aviation safety. Our project's main goal is to create a flexible handheld device using Software-Defined Radio technology to solve this problem. This method tends to effectively read, process, and analyze signals, sent by airplane black boxes, through the efficient integration of GNU Radio Companion, Raspberry Pi and other components. This approach aids real-time detection and localization of black boxes in various environmental conditions, expediting Search and Rescue operations and enhancing the chances of retrieving critical flight data. The adoption of Software-Defined Radio technology and its integration into a handheld device is driven by its adaptability and flexibility, supporting optimization of signal processing capabilities and device performance. Through rigorous testing and evaluation, our proposed solution's reliability and effectiveness in real-world scenarios are validated using performance metrics such as signal detection accuracy, response time, and device portability.