Hankel Spectrum Analysis: A novel signal decomposition method and its geophysical applications
Kunpeng Shi, Hao Ding

TL;DR
Hankel Spectral Analysis (HSA) is a new robust signal decomposition method for analyzing non-stationary harmonic signals in geophysical data, revealing new insights into Earth's dynamics and global observables.
Contribution
The paper introduces HSA, a novel state-space analysis technique based on Hankel matrices, TSVD, and shift-invariance, specifically designed for non-stationary signal decomposition in geophysics.
Findings
Confirmed triple jumps in Chandler wobble since 1900s.
Identified decadal signals linked to tide and solar activity.
Revealed interannual oscillations contributing to gravity anomalies.
Abstract
To analyze non-stationary harmonic signals typically contained in geophysical observables is a quest that has seen continual advances in numerical techniques over the decades. In this paper, based on transient z-pole estimation (in Hankel matrices), a novel state-space analysis referred to as Hankel Spectral Analysis (HSA), was developed. Depended on the Hankel total least square (HTLS), the HSA incorporates truncated singular value decomposition (TSVD) and its shift-invariant property in robustly decomposing the closely-spaced sinusoids. Resorted to a sliding window processing, HSA can be used to analyze non-stationary sequential structures, in the support of consecutive quaternary parameters {Ai, {\alpha}i, fi, {\theta}i}. Based on a series of experiments with special features commonly in real measurements, the availabilities of HSA in complex harmonic constituents (e.g., the…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Statistical and numerical algorithms · Inertial Sensor and Navigation
