A Hybrid Algorithm for Estimating the Parameters of Polynomial-Phase Signals
- https://doi.org/10.2991/iccsee.2013.456How to use a DOI?
- parameter estimation, polynomial-phase signal, multicomponent signals, high-order ambiguity function, generalized cubic phase function
This paper details a hybrid algorithm for estimating the parameters of polynomial-phase signals (PPSs) embedded in additive white Gaussian noise. This algorithm combines the high-order ambiguity function (HAF) and the generalized cubic phase function (GCPF), and is a modification of the hybrid CPF-HAF method. In the proposed algorithm, the HAF is first applied on the original PPS to produce a cubic phase signal, whose parameters are then estimated by the GCPF, instead of the CPF. Numerical examples reveals that the signal-to-noise-ratio (SNR) threshold and mean-squared error (MSE) of the proposed approach are significantly lower than the HAF, and the SNR threshold of the proposed approach is increased by about 4dB with respect to the CPF-HAF, while the MSE is reduced by about 2dB above the threshold. In addition, the proposed approach is extended to the product version in the presence of multicomponent PPSs, where the product version of the CPF-HAF suffers from an identifiability problem.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Pengfei Tang AU - Qianqiang Lin AU - Bin Yuan AU - Zengping Chen PY - 2013/03 DA - 2013/03 TI - A Hybrid Algorithm for Estimating the Parameters of Polynomial-Phase Signals BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 1818 EP - 1821 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.456 DO - https://doi.org/10.2991/iccsee.2013.456 ID - Tang2013/03 ER -