Near-field source localisation using bottom-mounted linear sensor array in multipath environment

Lee, S.H.; Ryu, Chang-Soo; Lee, K.K.

doi:10.1049/ip-rsn:20020494

Cited by 12 publications

(5 citation statements)

References 10 publications

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“…Under these assumptions, only the mutual coupling among the adjacent elements of the innermost rings will be considered to simplify the problem. Thus, the simplified mutual coupling matrix C can be obtained from (25) as…”

Section: Subspace Rotation Due To Simplified Mutual Couplingmentioning

confidence: 99%

“…In this section, we show as to how the proposed technique of compensation is incorporated into both MUSIC and ESPRIT algorithms for estimating the parameters of nearfield sources. In order to reduce the computational burden in MUSIC and ESPRIT, we estimate range parameter by using a method that employs cross-correlation among the eigenvectors of the signal subspace [25]. A brief description of the procedure for parameter estimation of near-field sources is given below.…”

Section: Parameter Estimation After Compensationmentioning

confidence: 99%

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A Subspace-Based Compensation Method for the Mutual Coupling in Concentric Circular Ring Arrays for Near-Field Source Localisation

Abedin

Mohan

2012

International Journal of Antennas and Propagation

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We propose a technique for compensating the effect of mutual coupling on parameter estimation that is suitable with any subspace-based super-resolution algorithms. A Concentric circular ring array (CCRA) formed using thin dipole antennas in the receiving mode is employed to estimate the parameters of electromagnetic sources located in the radiating near field of the array. A CCRA geometry that obtains a lowest Cramer-Rao lower bound (CRLB) in the presence of array mutual coupling is chosen for investigation. The mutual coupling among antenna elements of the array would affect the orthogonality of subspaces when MUSIC or ESPRIT algorithms are used for parameter estimation. The proposed method obtains a compensation matrix that restores the orthogonality between the subspaces there by improving the accuracy of estimation. To avoid three-dimensional searches, the range parameter is estimated using a cross-correlation-based method. Numerical simulation using a full-wave electromagnetic (EM) solver is employed to demonstrate the effectiveness of the proposed compensation approach.

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Section: Subspace Rotation Due To Simplified Mutual Couplingmentioning

confidence: 99%

Section: Parameter Estimation After Compensationmentioning

confidence: 99%

A Subspace-Based Compensation Method for the Mutual Coupling in Concentric Circular Ring Arrays for Near-Field Source Localisation

Abedin

Mohan

2012

International Journal of Antennas and Propagation

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“…Yuan and Salt (1993) and Yuan et al (2000) used simulations to try to characterize the maximum possible efficiency from preextracted time delay measurements between vertical line array elements. Lee et al (2002) used bearing angles and time-difference of arrival between two multipaths on a bottom-mounted array to perform underwater source localization. Cramér-Rao analysis has also been applied to matched field processing by Hursky et al (2004).…”

Section: Noise Source Localizationmentioning

confidence: 99%

Advances in Aquatic Target Localization with Passive Sonar

Gebbie¹

2000

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New underwater passive sonar techniques are developed for enhancing target localization capabilities in shallow ocean environments. The ocean surface and the seabed act as acoustic mirrors that reflect sound created by boats or subsurface vehicles, which gives rise to echoes that can be heard by hydrophone receivers (underwater microphones). The goal of this work is to leverage this "multipath" phenomenon in new ways to determine the origin of the sound, and thus the location of the target. However, this is difficult for propeller driven vehicles because the noise they produce is both random and continuous in time, which complicates its measurement and analysis. Further, autonomous underwater vehicles (AUVs) pose additional challenges because very little is known about the sound they generate, and its similarity to that of boats. Existing methods for localizing propeller noise using multiple hy- iii

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“…For FFS, there is only one localizing parameter which is the direction of arrival (DOA) [2−4]. The subspace processing algorithms such as the multiple signal classification (MUSIC) algorithm [5,6] and the estimating signal parameters via rotational invariance techniques (ESPRIT) algorithm [7,8] are representative localization algorithms. However, near-field source (NFS) should be regarded as spherical wave.…”

Section: Introductionmentioning

confidence: 99%

Localization for Mixed Near-Field and Far-Field Sources under Impulsive Noise

Gao,

Zhang,

et al. 2024

J. of Syst. Eng. Electron.

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In order to solve the problem that the performance of traditional localization methods for mixed near-field sources (NFSs) and far-field sources (FFSs) degrades under impulsive noise, a robust and novel localization method is proposed. After eliminating the impacts of impulsive noise by the weighted outlier filter, the direction of arrivals (DOAs) of FFSs can be estimated by multiple signal classification (MUSIC) spectral peaks search. Based on the DOAs information of FFSs, the separation of mixed sources can be performed. Finally, the estimation of localizing parameters of NFSs can avoid two-dimension spectral peaks search by decomposing steering vectors. The Cramer-Rao bounds (CRB) for the unbiased estimations of DOA and range under impulsive noise have been drawn. Simulation experiments verify that the proposed method has advantages in probability of successful estimation (PSE) and root mean square error (RMSE) compared with existing localization methods. It can be concluded that the proposed method is effective and reliable in the environment with low generalized signal to noise ratio (GSNR), few snapshots, and strong impulse.

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Near-field source localisation using bottom-mounted linear sensor array in multipath environment

Cited by 12 publications

References 10 publications

A Subspace-Based Compensation Method for the Mutual Coupling in Concentric Circular Ring Arrays for Near-Field Source Localisation

A Subspace-Based Compensation Method for the Mutual Coupling in Concentric Circular Ring Arrays for Near-Field Source Localisation

Advances in Aquatic Target Localization with Passive Sonar

Localization for Mixed Near-Field and Far-Field Sources under Impulsive Noise

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