2D DOA Estimation of UCA Correlative Interferometer Based on One Dimensional Sorting Lookup Table-Two Dimensional Linear Interpolation Algorithm

Cui, Kaibo; Wu, Weiwei; Huang, Jingjian; Chen, X.; Yuan, Naichang

doi:10.13164/re.2017.0562

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…In order to accelerate the processing speed, Cui et al. [22] proposed a two‐dimensional linear interpolation (1DSLUT‐2DLI) algorithm with the one‐dimensional sorting mechanism which can associate with UCA models. Although this approach can yield high AOA estimation accuracy, it performs more slowly than the second‐order difference array (SODA) method [23].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the system will require a higher memory utilisation and a more expensive computational cost to find the most appropriate AOA from the higher-resolution table. In order to accelerate the processing speed, Cui et al [22] proposed a two-dimensional linear interpolation (1DSLUT-2DLI) algorithm with the one-dimensional sorting mechanism which can associate with UCA models. Although this approach can yield high AOA estimation accuracy, it performs more slowly than the second-order difference array (SODA) method [23].…”

Section: Introductionmentioning

confidence: 99%

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Phase‐difference measurement‐based angle of arrival estimation using long‐baseline interferometer

Doan

Huynh‐The

Hoang

et al. 2022

IET Radar Sonar & Navi

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This article presents a direction-finding method based on phase difference measurement for wide-ranging applications of electronic intelligence. By including three processing steps of rotating, re-scaling, and rounding of phase plane, the proposed method is able to obtain the actual phase shift of the longest baseline from the ambiguous phase differences measured from incoming signals with low computational cost. The method's performance is analysed and evaluated in terms of angle of arrival (AOA) estimation accuracy and probability of unambiguity by several interferometers of long baselines designed by multiple antenna elements. Consequently, an optimised array configuration of four antenna elements is taken into account to obtain high AOA estimation accuracy via several productive simulations and intensively validated with device measurement in the practical environment. Regarding the simulation of angle estimation accuracy, the proposed method remarkably outperforms two other existing methods, including secondorder difference array and correlative interferometers. In the experimental measurement, high AOA determination performance is achieved with the transmitter located around 35.5 m far from an antenna array and the small average angle estimation error of 1.86°at the direction of 20°. For various directions from −60°to 60°with the steps of 5°, the results satisfy the actual directions of the transmitter with a standard deviation of less than 0.5°.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Phase‐difference measurement‐based angle of arrival estimation using long‐baseline interferometer

Doan

Huynh‐The

Hoang

et al. 2022

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…In recent years, the direction of arrival (DOA) estimation has received tremendous attention in different areas, such as radar, sonar and communication [1][2][3][4][5]. Many algorithms, such as multiple signal classification (MUSIC) [6], estimation of signal parameters via rotation invariance techniques (ESPRIT) [7], [8] and their variants based on the Eigen-structure techniques, have been developed over the years and provided satisfactory performance.…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation of Multiple LFM Sources Using a STFT-based and FBSS-based MUSIC Algorithm

Cui¹,

Chen²,

Huang³

et al. 2017

RADIOENGINEERING

Self Cite

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Abstract. Direction of arrival (DOA) estimation is an important problem in array signal processing. An effective multiple signal classification (MUSIC) method based on the short-time Fourier transform (STFT) and forward/ backward spatial smoothing (FBSS) techniques for the DOA estimation problem of multiple time-frequency (t-f) joint LFM sources is addressed. Previous work in the area e. g. STFT-MUSIC algorithm cannot resolve the t-f completely or largely joint sources because they can only select the single-source t-f points. The proposed method constructs the spatial t-f distributions (STFDs) by selecting the multiple-source t-f points and uses the FBSS techniques to solve the problem of rank loss. In this way, the STFT-FBSS-MUSIC algorithm can resolve the t-f largely joint or

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Novel cooperative localization method of over-the-horizon shortwave emitters based on direction-of-arrival and time-difference-of-arrival measurements

Wang¹,

Yin²,

Zhu³

2022

Sci. Sin.-Inf.

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2D DOA Estimation of UCA Correlative Interferometer Based on One Dimensional Sorting Lookup Table-Two Dimensional Linear Interpolation Algorithm

Abstract: Abstract. In order to improve the direction-finding efficiency of the correlative interferometer and reduce the size of the lookup

Cited by 3 publications

References 16 publications

Phase‐difference measurement‐based angle of arrival estimation using long‐baseline interferometer

Phase‐difference measurement‐based angle of arrival estimation using long‐baseline interferometer

DOA Estimation of Multiple LFM Sources Using a STFT-based and FBSS-based MUSIC Algorithm

Novel cooperative localization method of over-the-horizon shortwave emitters based on direction-of-arrival and time-difference-of-arrival measurements

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