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.
| Original language | English |
|---|---|
| Pages (from-to) | 411-413 |
| Number of pages | 3 |
| Journal | Electronics Letters |
| Volume | 51 |
| Issue number | 5 |
| DOIs | |
| State | Published - 5 Mar 2015 |
| Externally published | Yes |
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