TDOA estimation method based on frequency domain decimation

The estimation of Time Difference of Arrival (TDOA) stands as a pivotal aspect of TDOA localization. This paper explores the TDOA estimation method utilizing decimation compression sampling for general signals and introduces a decimation compression sampling technique grounded in convex optimization. Simulation outcomes reveal that for signals possessing limited frequency domain sparsity, the data compression methodology advocated in this paper, in contrast to the traditional decimation compression method predicated on amplitude spectrum sorting, notably mitigates the root mean square error (RMSE) performance loss in Time Difference Maximum Likelihood Estimation (MLE).

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Publication Details

Published
2025-03-31
DOI
https://doi.org/10.1117/12.3061890
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
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article

TDOA estimation method based on frequency domain decimation

JingyuZhai JingyuZhai, ChenchenWang ChenchenWang, YangJiao YangJiao, YipengLiu YipengLiu et al.
Blind Source Separation Techniques
article

TDOA estimation method based on frequency domain decimation

JingyuZhai JingyuZhai, ChenchenWang ChenchenWang, YangJiao YangJiao, YipengLiu YipengLiu, QunWan QunWan
article en

Abstract

The estimation of Time Difference of Arrival (TDOA) stands as a pivotal aspect of TDOA localization. This paper explores the TDOA estimation method utilizing decimation compression sampling for general signals and introduces a decimation compression sampling technique grounded in convex optimization. Simulation outcomes reveal that for signals possessing limited frequency domain sparsity, the data compression methodology advocated in this paper, in contrast to the traditional decimation compression method predicated on amplitude spectrum sorting, notably mitigates the root mean square error (RMSE) performance loss in Time Difference Maximum Likelihood Estimation (MLE).

University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 93%
Blind Source Separation Techniques
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