The secondary surveillance radar is a crucial tool in air traffic control, used to identify and track aircraft. However, the transmission of secondary surveillance radar signals can be affected by noise, distortion, and interference, leading to errors in the received radar messages. This can potentially cause safety issues and impact the efficiency of the system. In this article, we propose an error correction method called the “Automatic Dependent Surveillance Broadcast (ADS-B)-feature-based error correction method” to address this problem. Our method uses the cyclic redundancy check codes contained in Mode-S ADS-B signals transmitted by aircraft in the 1090-MHz band to detect and correct errors in the received radar messages by utilizing the look-up syndrome table and the unique features of ADS-B messages, such as the International Civil Aviation Organization (ICAO) address, downlink format, and capability for matching. We evaluate the performance of our method using collected data and compare it with an existing baseline technique. The results show that our proposed method outperforms this baseline technique in terms of error correction rate and computational speed. The proposed method has the potential to improve the efficiency and accuracy of air traffic control.

ADS-B Feature Based Error Correction Method Implementation and Validation Using SDR

This article introduces a comprehensive Mode-S radar simulation, designed to evaluate interrogation and reply signal functionality in various uplink formats (UFs) and downlink formats (DFs). Mode-S radar, crucial in modern aviation, facilitates communication between aircraft and ground systems, thereby enhancing aircraft tracking, situational awareness, and air traffic safety. Our simulation focuses on optimizing interrogation and reply sequences in the 1030-and 1090-MHz channels, respectively. It provides a practical solution for testing complex air flight scenarios, which may be impractical or costly in real life, by replicating challenging conditions in a computerized environment. This approach aids in developing advanced radar signaling algorithms for air traffic control. The simulator's user-friendly interface displays real-time aircraft data, demonstrating its real-world applicability. Its successful operation underscores its potential to advance Mode-S radar technology and its value for research in the field. 

Empowering Mode-S Radar Systems With Comprehensive Interrogation and Reply Simulation Renforcement des systèmes radars Mode-S avec une simulation complète d’interrogation et de réponse

. The increasing trend in air traffic density will continue in the near future with the addition of different aerial vehicles. Before the Mode-S protocol, Mode A and Mode C were in use; however, the Mode A/C configuration was only usable in sparsely dense air traffic. One of the useful features of Mode-S is the ability of probabilistic interrogation. However, there has not yet been a sophisti-cated algorithm for many close aircraft. Considering a futuristic air environment with a swarm of drones and airbuses equipped with transponders, we utilized the probabilistic interrogation feature of Mode-S and designed an algorithm. The proposed algorithm is able to collect close aircraft information in a relatively short time. There has also been created a high-level Mode-S uplink and downlink communication simulator in order to exchange all-call communication and record the algorithm’s performance in terms of time and number of interrogations sent.

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Mode-S Radar Interrogation Algorithm Design for Dense Air Traffic Environment

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Mode-S Radar Interrogation Algorithm Design for Dense Air Traffic Environment