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Content Provider | IET Digital Library |
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Author | Ru, Xiao Hu Liu, Zheng Huang, Zhi Tao Jiang, Wen Li |
Abstract | In this study, the authors focus on pulse modulation waveform estimation based on a sequence of intercepted pulses from the same radar emitter. In general, modulation waveform estimators first perform pulse alignment in time and frequency separately, and then accumulate the aligned pulses to estimate the waveform. However, commonly used alignment methods may lead to considerable alignment errors which are difficult to detect and compensate, especially under low signal-to-noise ratio (SNR) conditions, resulting in non-ideal effects of accumulation. This study proposes a robust and nearly optimal modulation waveform estimation algorithm. The new algorithm first aligns pulses in time and frequency jointly via the cross-ambiguity function to avoid the transfer and accumulation of alignment errors. After that, an iterative maximum-likelihood estimator is invoked to achieve the waveform estimation. Theoretical analysis and extensive experiments show that the proposed algorithm has much smaller alignment errors and better modulation waveform and modulation parameter estimation ability than competing methods at low SNRs, and can approach the ideal case. Moreover, this algorithm does not make any assumption on the type of modulation and is computationally efficient, thus having broad applications. |
Starting Page | 651 |
Ending Page | 658 |
Page Count | 8 |
ISSN | 17519675 |
Volume Number | 10 |
e-ISSN | 17519683 |
Issue Number | Issue 6, Aug (2016) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/10/6 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2015.0273 |
Journal | IET Signal Processing |
Publisher Date | 2016-08-01 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Accumulation Nonideal Effects Alignment Error Accumulation Avoidance Alignment Error Compensation Alignment Error Detection Alignment Error Transfer Avoidance Cross-ambiguity Function Intercepted Pulse Sequence Interpolation And Function Approximation Iterative Maximum-likelihood Estimator Iterative Method Low Signal-to-noise Ratio Condition Low SNR Condition Maximum Likelihood Estimation Modulation And Coding Method Modulation Waveform Estimator Numerical Analysis Pulse Alignment Method Pulse Modulation Radar Emitter Radar Pulse Modulation Waveform Near-optimal Estimation Radar Signal Processing Radar Theory Smaller Alignment Error Statistics |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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