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Content Provider | IET Digital Library |
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Author | Jiang, Li Li, Lin Zhao, Guo qing |
Abstract | Polyphase codes including Frank, P1, P2, P3 and P4 codes are different from linear frequency modulation (LFM) and conventional phase coding, which have brought great challenges to current reconnaissance systems. Polyphase codes are derived from approximation to LFM waveforms. By theoretical derivation and simulation analysis, the authors can conclude that time–frequency rate (TFR) distribution is much more suitable for detection and estimation of polyphase coded signals than time–frequency distribution. Based on the transformation of TFR distribution, a hierarchical signal detection scheme and a peak slice-based parameter estimation method are proposed for polyphase coded signals. To improve the energy concentration, two higher order TFR distributions are presented as a supplement and comparison. The theoretical analysis and simulation experiments demonstrate the validity and efficiency of the proposed method. |
Starting Page | 46 |
Ending Page | 54 |
Page Count | 9 |
ISSN | 17519675 |
Volume Number | 10 |
e-ISSN | 17519683 |
Issue Number | Issue 1, Feb (2016) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/10/1 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2014.0020 |
Journal | IET Signal Processing |
Publisher Date | 2016-02-01 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Code Energy Concentration Improvement FM Radar Frequency Modulation Hierarchical Signal Detection Scheme Intercept Radar Signal Detection Intercept Signal Estimation LFM Waveform Linear Frequency Modulation Mathematical Analysis Parameter Estimation Peak Slice-based Parameter Estimation Method Phase Coding Polyphase Coded Low Probability Probability Radar Detection Radar Theory Reconnaissance System Signal Detection Statistics TFR Distribution Transformation Time-frequency Analysis Time-frequency Rate Distribution |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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