Research Article
IAA Spectral Estimation in the Selective Range
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@INPROCEEDINGS{10.1007/978-3-030-77569-8_8, author={Yuan Chen and Longting Huang}, title={IAA Spectral Estimation in the Selective Range}, proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Systems. 16th EAI International Conference, QShine 2020, Virtual Event, November 29--30, 2020, Proceedings}, proceedings_a={QSHINE}, year={2021}, month={6}, keywords={Iterative adaptive approach (IAA) Spectral estimation Frequency domain}, doi={10.1007/978-3-030-77569-8_8} }- Yuan Chen
Longting Huang
Year: 2021
IAA Spectral Estimation in the Selective Range
QSHINE
Springer
DOI: 10.1007/978-3-030-77569-8_8
Abstract
Recently, the iterative adaptive approach (IAA) has been proposed to be a high-resolution spectrum estimator. Its main idea is reformulating the nonlinear frequency estimation problem as a linear one, with parameters being updated iteratively according to weighted least squares. Since the derivation is based on grid searching in a fixed frequency range([0,2\pi )), the accurate of the IAA is limited by the number of grid. In this paper, we proposing two generalized versions of IAA, which can work well in a flexible frequency range, so that the performance can be improved in the same grid points. Simulation results are included to demonstrate the superior of our proposed methods.
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