A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B Signals
Satellite-based automatic dependent surveillance broadcast (ADS-B) is of great importance in the next generation air traffic management system. However, there are two major challenges: interference and low signal to noise ratio (SNR). The interference can be mitigated by various separation algorithm...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8767962/ |
| _version_ | 1818947340930646016 |
|---|---|
| author | Peng Ren Jianxin Wang Haiwei Song Peixin Zhang Tian Ban |
| author_facet | Peng Ren Jianxin Wang Haiwei Song Peixin Zhang Tian Ban |
| author_sort | Peng Ren |
| collection | DOAJ |
| description | Satellite-based automatic dependent surveillance broadcast (ADS-B) is of great importance in the next generation air traffic management system. However, there are two major challenges: interference and low signal to noise ratio (SNR). The interference can be mitigated by various separation algorithms. In this paper, we are committed to improving the detection performance for the ADS-B signals with downlink format field equal to 17 at low SNRs. At the moment, commercial receivers work well with sufficient SNRs but may not function properly in the case of the low SNRs. To this end, based on the characteristics of the ADS-B signal frame format, we propose a novel multi-criteria preamble detection algorithm. The proposed algorithm is a constant false alarm rate (CFAR) detection algorithm, and the determination of threshold is independent of noise power. We make a detailed theoretical analysis of each criterion, and develop the analytic expression of the detection probability. All the theoretical results are validated by the Monte Carlo simulations. The simulation shows that the proposed algorithm has an excellent probability of detection when the SNR is low, which is suitable for the satellite-based ADS-B application. |
| first_indexed | 2024-12-20T08:29:21Z |
| format | Article |
| id | doaj.art-f25707ae958e48e8ac0b11a17a60cff5 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T08:29:21Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f25707ae958e48e8ac0b11a17a60cff52022-12-21T19:46:45ZengIEEEIEEE Access2169-35362019-01-017973199733210.1109/ACCESS.2019.29298308767962A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B SignalsPeng Ren0https://orcid.org/0000-0001-6895-2524Jianxin Wang1Haiwei Song2Peixin Zhang3Tian Ban4https://orcid.org/0000-0002-2639-201XSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaNanjing Electronic Equipment Institute, Nanjing, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSatellite-based automatic dependent surveillance broadcast (ADS-B) is of great importance in the next generation air traffic management system. However, there are two major challenges: interference and low signal to noise ratio (SNR). The interference can be mitigated by various separation algorithms. In this paper, we are committed to improving the detection performance for the ADS-B signals with downlink format field equal to 17 at low SNRs. At the moment, commercial receivers work well with sufficient SNRs but may not function properly in the case of the low SNRs. To this end, based on the characteristics of the ADS-B signal frame format, we propose a novel multi-criteria preamble detection algorithm. The proposed algorithm is a constant false alarm rate (CFAR) detection algorithm, and the determination of threshold is independent of noise power. We make a detailed theoretical analysis of each criterion, and develop the analytic expression of the detection probability. All the theoretical results are validated by the Monte Carlo simulations. The simulation shows that the proposed algorithm has an excellent probability of detection when the SNR is low, which is suitable for the satellite-based ADS-B application.https://ieeexplore.ieee.org/document/8767962/ADS-Blow SNRmulti-criteriapreamble detectiontheoretical analysis |
| spellingShingle | Peng Ren Jianxin Wang Haiwei Song Peixin Zhang Tian Ban A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B Signals IEEE Access ADS-B low SNR multi-criteria preamble detection theoretical analysis |
| title | A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B Signals |
| title_full | A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B Signals |
| title_fullStr | A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B Signals |
| title_full_unstemmed | A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B Signals |
| title_short | A Novel Multi-Criteria Preamble Detection Algorithm for ADS-B Signals |
| title_sort | novel multi criteria preamble detection algorithm for ads b signals |
| topic | ADS-B low SNR multi-criteria preamble detection theoretical analysis |
| url | https://ieeexplore.ieee.org/document/8767962/ |
| work_keys_str_mv | AT pengren anovelmulticriteriapreambledetectionalgorithmforadsbsignals AT jianxinwang anovelmulticriteriapreambledetectionalgorithmforadsbsignals AT haiweisong anovelmulticriteriapreambledetectionalgorithmforadsbsignals AT peixinzhang anovelmulticriteriapreambledetectionalgorithmforadsbsignals AT tianban anovelmulticriteriapreambledetectionalgorithmforadsbsignals AT pengren novelmulticriteriapreambledetectionalgorithmforadsbsignals AT jianxinwang novelmulticriteriapreambledetectionalgorithmforadsbsignals AT haiweisong novelmulticriteriapreambledetectionalgorithmforadsbsignals AT peixinzhang novelmulticriteriapreambledetectionalgorithmforadsbsignals AT tianban novelmulticriteriapreambledetectionalgorithmforadsbsignals |