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| Content Provider | IET Digital Library |
|---|---|
| Author | Su, Jia Tao, Hai hong Rao, Xuan Xie, Jian Guo, Xiao lu |
| Abstract | The cubic phase function (CPF) based estimator is efficient in estimating the parameters for mono-component linear frequency-modulated (LFM) signals. However, it suffers from cross-terms and spurious peaks when dealing with multi-component LFM signals. Aimed at this identifiability problem, a coherently integrated CPF (CICPF) algorithm is proposed to enhance the auto-terms and suppress spurious peaks. Comparisons with several existing algorithms are made, which show that the CICPF not only solve the identifiability problem for multi-component LFM signals, but also acquires high anti-noise performance. |
| Starting Page | 411 |
| Ending Page | 413 |
| Page Count | 3 |
| ISSN | 00135194 |
| Volume Number | 51 |
| e-ISSN | 1350911X |
| Issue Number | Issue 5, Mar (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/51/5 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2014.4164 |
| Journal | Electronics Letters |
| Publisher Date | 2015-02-20 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Antinoise Performance CICPF Algorithm Coherently Integrated Cubic Phase Function Coherently Integrated Cubic Phase Function Algorithm CPF Based Estimator Frequency Modulation Modulation And Coding Method Monocomponent Linear Frequency-modulated Signal Multicomponent LFM Signal Multiple LFM Signal Analysis Parameter Estimation Signal Processing Signal Processing And Detection Spurious Peak Suppression |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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