Localization in Airborne Multistatic Sonars

Simakov, Sergey

doi:10.1109/joe.2008.927916

Cited by 41 publications

(41 citation statements)

References 4 publications

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“…Multistatic sonar consists of multiple transmitter-receiver pairs, each of which can provide separate positioning parameters for target localization. This leads to improved localization accuracy as well as better system robustness and flexibility [1], [2], [3]. Other typical multistatic localization systems, to name a few, include the multistatic radar [4]- [7], multiple-input multipleoutput (MIMO) radar [8] [9], wireless sensor networks (WSNs) [10] and distributed multiple antenna systems [11].…”

Section: Introductionmentioning

confidence: 99%

“…Localization is often based on the time-delay of the transmitted signal reflected by a target at the receiver [8] [9]. In literature, the time-delay measurement is also referred to as the bistatic-range (BR) [6] [7], range [10] or elliptic distance [3][4] [12] [13]. We shall use them interchangeably in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…For each transmitter-receiver pair, the range measurement defines an ellipse where the target lies on. A number of elliptic localization methods have been developed (see [3], [4] and [13] and references therein). Specifically, [4] developed two closed-form methods for elliptic localization, namely the spherical-interpolation (SI) and spherical-intersection (SX) algorithms, but they cannot attain the Crámer-Rao lower bound (CRLB) accuracy in general.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, [4] developed two closed-form methods for elliptic localization, namely the spherical-interpolation (SI) and spherical-intersection (SX) algorithms, but they cannot attain the Crámer-Rao lower bound (CRLB) accuracy in general. The localization technique employed in [3] is based on the Wiener filter and the performance is suboptimal. More recently, Rui and Ho [13] developed a closed-form four-stage localization algorithm that introduces auxiliary variables to Liu enable the use of linear estimation techniques and eliminates them successively to find the target position estimate.…”

Section: Introductionmentioning

confidence: 99%

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Moving Target Localization in Multistatic Sonar by Differential Delays and Doppler Shifts

Yang

2016

IEEE Signal Process. Lett.

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A moving target creates the Doppler effect on the transmitted signal, which can be exploited to improve the target localization accuracy in multistatic sonar that normally utilizes differential delay time measurements only. In this letter, we first examine the contribution of Doppler measurements via the Crámer-Rao lower bound (CRLB) study, and then develop an algebraic closed-form solution for the moving target localization problem. The proposed algorithm is shown, in both theory and simulation, to be able to reach the CRLB performance under Gaussian noise when the measurement error is small.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Moving Target Localization in Multistatic Sonar by Differential Delays and Doppler Shifts

Yang

2016

IEEE Signal Process. Lett.

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“…[25] extended the analysis to a more general scenario where the transmitter positions have errors. [26] used a random model for the transmitter and receiver position errors and derived the error amplification factor of a target position estimate caused by the sensor position uncertainties. The results, however, are for the position fix using only two measurements.…”

Section: Introductionmentioning

confidence: 99%

Efficient closed-form estimators for multistatic sonar localization

Rui

2015

IEEE Trans. Aerosp. Electron. Syst.

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This paper addresses the multistatic sonar localization problem using time measurements only or with bearings in the presence of Gaussian transmitter positions, receiver positions, and propagation speed variations. We develop efficient algebraic solutions to this nonlinear estimation problem through parameter transformation and multistage processing. Both situations of known and unknown statistical distribution of the propagation speed are considered. Analysis supports their performance in reaching the hybrid Cramer-Rao lower bound (CRLB) over the small error region.

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Sensor placement in active multistatic sonar networks

Craparo

Karataş

Kühn³

2017

Naval Research Logistics

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The idea of deploying noncollocated sources and receivers in multistatic sonar networks (MSNs) has emerged as a promising area of opportunity in sonar systems. This article is one of the first to address point coverage problems in MSNs, where a number of points of interest have to be monitored in order to protect them from hostile underwater assets. We consider discrete “definite range” sensors as well as various diffuse sensor models. We make several new contributions. By showing that the convex hull spanned by the targets is guaranteed to contain optimal sensor positions, we are able to limit the solution space. Under a definite range sensor model, we are able to exclude even more suboptimal solutions. We then formulate a nonlinear program and an integer nonlinear program to express the sensor placement problem. To address the nonconvex single‐source placement problem, we develop the Divide Best Sector (DiBS) algorithm, which quickly provides an optimal source position assuming fixed receivers. Starting with a basic implementation of DiBS, we show how incorporating advanced sector splitting methods and termination conditions further improve the algorithm. We also discuss two ways to use DiBS to find multiple source positions by placing sensors iteratively or simultaneously. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 287–304, 2017

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Localization in Airborne Multistatic Sonars

Cited by 41 publications

References 4 publications

Moving Target Localization in Multistatic Sonar by Differential Delays and Doppler Shifts

Moving Target Localization in Multistatic Sonar by Differential Delays and Doppler Shifts

Efficient closed-form estimators for multistatic sonar localization

Sensor placement in active multistatic sonar networks

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