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Content Provider | IET Digital Library |
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Author | Cai, Fei Fan, Hongqi Lu, Zaiqi Fu, Qiang |
Abstract | A pulse Doppler radar worked in medium or high pulse repetition frequency (PRF) may suffer from range and Doppler ambiguities. The common method to solve ambiguities is to use multiple PRFs and do correlation between them. The ghosting problem may be caused by the false alarms in the correlation. When the signal-to-noise ratio is low, a low detection threshold is needed to guarantee the probability of detection, which may create a large amount of false alarms that are intractable for existing techniques. This study uses a Bayesian method to detect and track a single target in a range and Doppler ambiguous radar. The authors’ method is formulated based on the finite set representation of the target state and the recently developed Bernoulli filter. Besides, a sequential Monte Carlo implementation of the Bernoulli filter is proposed for the problem of range and Doppler ambiguous measurement. Simulation results show that the proposed filter can simultaneously detect and track the target using the ambiguous measurements in the presence of dense false alarms. |
Starting Page | 647 |
Ending Page | 654 |
Page Count | 8 |
ISSN | 17519675 |
Volume Number | 9 |
e-ISSN | 17519683 |
Issue Number | Issue 9, Dec (2015) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/9/9 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2015.0013 |
Journal | IET Signal Processing |
Publisher Date | 2015-12-01 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Bayes Method Bernoulli Filter Dense False Alarms Detection Probability Doppler Ambiguous Radar Doppler Radar Finite Set Representation Monte Carlo Method Pulse Doppler Radar Pulse Repetition Frequency Radar Detection Radar Equipment Radar Signal Processing Radar Theory Sequential Monte Carlo Signal Detection Signal to Noise Ratio System And Application |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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