Coherent signal localization with multiple arrays: a successive perspective

Zeng, Haowei; Shi, Sha; Yue, Heng; Li, Jianfeng

doi:10.1007/s11045-022-00862-8

Cited by 2 publications

(1 citation statement)

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“…The two-step positioning framework can be further classified into angle of arrival (AOA) [ 9 ], time of arrival (TOA) [ 10 ], time difference of arrival (TDOA) [ 11 ], received signal strength (RSS) [ 12 ], and other categories based on intermediate parameters estimation. While this technology estimates intermediate parameters from received signals and then solves spatial geometry problems to determine radiation source positions, it suffers from information loss between steps and suboptimal accuracy due to errors in parameter matching processes [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Direct Position Determination of Non-Gaussian Sources for Multiple Nested Arrays: Discrete Fourier Transform and Taylor Compensation Algorithm

Hu,

Yang,

Yuan

et al. 2024

Sensors

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This paper delves into the problem of direct position determination (DPD) for non-Gaussian sources. Existing DPD algorithms are hindered by their high computational complexity from exhaustive grid searches and a disregard for the received signal characteristics by multiple nested arrays (MNAs). To address these issues, the paper proposes a novel DPD algorithm for non-Gaussian sources with MNAs: the Discrete Fourier Transform (DFT) and Taylor compensation algorithm. Initially, the fourth-order cumulant matrix of the received signal is computed, and the vectorizing method is applied. Subsequently, a computationally efficient DPD cost function is proposed by leveraging a normalized DFT matrix to reduce complexity. Finally, first-order Taylor compensation is utilized to enhance the accuracy of the localization results. The superiority of the proposed algorithm is demonstrated through numerical simulation results.

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