An Improved Algorithm for Estimating the Parameters of Polynomial-Phase Signals

Abstract:

This paper presents an algorithm for estimating the parameters of polynomial-phase signals (PPSs). This algorithm combines the CPF-HAF method and Radon transform, and can be referred to as the Radon-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 Radon transform of the cubic phase function for the derived cubic phase signal. As involving in lower order nonlinearity, the proposed algorithm outperforms the HAF in terms of the accuracy and signal-to-noise-ratio (SNR) threshold. When multicomponent PPSs are considered, the product version of the proposed algorithm removes the identifiability problem which the product version of the CPF-HAF (PCPF-HAF) suffers from. Computer simulations have been carried out to support the theoretical results.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1350-1353
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1350
• Online since: August 2013
• Authors: Peng Fei Tang, Qian Qiang Lin, Bin Yuan, Zeng Ping Chen
• Keywords: Cubic Phase Function, High-Order Ambiguity Function, Multicomponent Signals, Polynomial-Phase Signal, Radon Transform

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