A Monopulse Based Correlation Technique for De-Garble Processing of SSR Replies
01 Oct 2006-pp 1501-1505
TL;DR: A new algorithm towards de-garbling of SSR replies is discussed, where the information derived from the delta to sigma ratio channel (Delta/Sigma) and the Sigma channel of the monopulse receiver are effectively combined for separating the garbled replies.
Abstract: Secondary surveillance radar (SSR) aids in the identification of aircrafts and often works in conjunction with the primary radar for better target awareness An important module of the SSR system is the reply signal processor unit One of the major issues in reply processing is the occurrence of garbled replies, which occurs due to the overlapping of replies Overlapping occurs when range difference between the two targets is less than de-garble resolution (3045 m) In practical scenarios SSR replies are often garbled (eg: formation flights) So efficient de-garbling algorithms are required for providing the target identification In this paper a new algorithm towards de-garbling of SSR replies is discussed The information derived from the delta to sigma ratio channel (Delta/Sigma) and the Sigma (sum) channel of the monopulse receiver are effectively combined for separating the garbled replies
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28 Jul 2020
TL;DR: A secondary radar signal processing method based on the deep residual separable neural network (DRS-Net), which can effectively extract the deep features of the secondary Radar signal and predict the original response signal is proposed.
Abstract: In addition to the target echo, the signal environment of the secondary surveillance radar (SSR) also includes environmental echo and noise interference, which greatly affect the correct decoding of the response signal. Nowadays, the processing of secondary radar response signals basically uses traditional signal processing methods, and there are few methods for denoising using deep learning neural networks. This paper proposes a secondary radar signal processing method based on the deep residual separable neural network (DRS-Net), which can effectively extract the deep features of the secondary radar signal and predict the original response signal. The core of the network is based on the deep separable convolutional neural network, and the deep residual connection structure can effectively learn the deep features of the signal. We conducted a lot of experiments and verifications using secondary radar response signals with different signal-to-noise ratio noise. The experimental results show that the method has high denoising performance in the normal radar operating environment and can accurately predict secondary radar response signals. When the signal-to-noise ratio is 5dB, the strict accuracy rate can reach 94%. When the signal-to-noise ratio is higher than 10dB, the strict accuracy rate has reached 99.95%.
7 citations
Cites methods from "A Monopulse Based Correlation Techn..."
...In [8], an antiscramble algorithm is proposed to perform garbage removal....
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30 Jul 2010
TL;DR: In this paper, the problem of corretta ricezione of segnali a 1090 MHz in ambienti ad alta densita of traffico is discussed, and a soluzione basata sull'uso of un ricevitore mono canale and antenna omnidirezionale is presented.
Abstract: In questo lavoro e stato affrontato il problema della corretta ricezione di segnali a 1090 MHz in ambienti ad alta densita di traffico. I segnali oggetto degli studi sono quelli utilizzati dai sistemi per la sorveglianza del traffico aereo (ATC): il radar secondario di sorveglianza (SSR), il sistema ADS-B (Automatic Dependent Surveillance-Broadcast), i sistemi di multilaterazione (MLAT e WAM), il sistema TIS-B ed il sistema T-CAS (Traffic Collisions Avoidance System). Le sorgenti dei segnali sono: i transponder avionici, i transponder veicolari e le stazioni trasmittenti del sistema TIS-B (Traffic Information System – Broadcast). I transponder trasmettono segnali di modo convenzionale e di modo S a seguito di interrogazioni da parte del radar secondario di sorveglianza, da parte di sistemi MLAT/WAM attivi e da parte dei sistemi T-CAS. I transponder di modo S inoltre trasmettono anche dei segnali spontanei detti squitter. Le stazioni TIS-B trasmettono segnali di modo S con la funzione di aggiornare gli aeromobili dotati di ADS-B sul traffico di aeromobili non dotati di ADS-B. Un ricevitore a 1090 MHz collocato in un ambiente ad alta densita di traffico possiede una probabilita non trascurabile di ricevere segnali sovrapposti nel tempo, soprattutto se dotato di antenna ricevente omnidirezionale. Inevitabilmente una tale situazione impedisce la corretta ricezione e decodifica di tutti i segnali, pregiudicando l’integrita della sorveglianza. Le tecniche proposte per affrontare il problema della ricezione di segnali sovrapposti sfruttano la diversita di antenna per rivelare la presenza di segnali sovrapposti e separarli. Tali metodi prevedono l’uso di una antenna ad array ed un ricevitore multicanale. Viene proposta anche una soluzione basata sull’uso di un ricevitore mono canale ed antenna omnidirezionale. Gli algoritmi presentati sono stati valutati tramite dei test utilizzando segnali reali registrati. Infine viene mostrato come aumenta la capacita del canale a 1090 MHz grazie all’utilizzo delle tecniche proposte.
Cites background from "A Monopulse Based Correlation Techn..."
...Per affrontare quest’ultimo problema sono stati sviluppati diversi metodi, denominati de-phantoming, il cui funzionamento esula dagli interessi della presente tesi [9], [10]....
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01 Jan 2022
TL;DR: In this paper , the authors have modelled and simulated the garbling phenomenon using an algorithm that statistically estimates the number of garbled replies for several aircraft interrogated by a secondary surveillance radar.
Abstract: In aviation, an undesirable phenomenon that can occur with increased airport traffic is garbling. The main problem is that if two aircraft are within a short critical distance to each other, the replay messages (response signals) can overlap. To better understand the garbling phenomenon by aviation students and engineers and to prevent the occurrence of this undesirable phenomenon that can lead to tragic events, we have modelled and simulated this phenomenon using an algorithm that statistically estimates the number of garbled replies (erroneous replay messages/ response signals) for several aircraft interrogated by a secondary surveillance radar.
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01 Jan 1987
TL;DR: In this paper, the authors describe the characteristics of radar systems, including radar ECM and ECCM, over-the-horizon radar, and secondary surveillance radar techniques.
Abstract: Computers and data processing in radar Phased arrays Target characteristics Radar ECM and ECCM Over-the-horizon radar Secondary surveillance radar techniques.
15 citations