Target localisation in multistatic radar using BR, TDOA, and AOA measurements

Wang, Jun; Qin, Zhaotao; Bi, Yong; Wei, Shaoming; Luo, Feixiang

doi:10.1049/joe.2019.0128

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…[79]- [83]. The form shown here, using sine and cosine, is far more common [26], [29], [31]- [33], [37]- [47], [53]- [61],…”

Section: ) Azimuth and Elevation Angle Of Arrival (Aoa)mentioning

confidence: 99%

“…When a system employs a transmitter (which may be part of the system or may be transmitting signals for some other purpose, such as radio or television broadcasts) and several geographically separated receivers, then the target localization problem becomes quite similar to the problem in multilateration. The problem can be solved with linear equations nearly identical to those presented by Chan [19], [27], [47], with AOA measurements producing equations similar to those given in Sec. II-A3 [31], [33], [47].…”

Section: Multistatic Radarmentioning

confidence: 99%

“…The problem can be solved with linear equations nearly identical to those presented by Chan [19], [27], [47], with AOA measurements producing equations similar to those given in Sec. II-A3 [31], [33], [47]. Including the uncertainty in the sensor locations produces more complicated WLS weights but otherwise does not affect the linear equations [30], [150].…”

Section: Multistatic Radarmentioning

confidence: 99%

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A Review of Linear Multilateration Techniques and Applications

Widdison,

Long

2024

IEEE Access

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In multilateration, distances between an unknown location and several known points are used to determine the location of the unknown point. Papers on algorithms for multilateration, such as time of arrival (TOA), time difference of arrival (TDOA), and angle of arrival (AOA), have proliferated in the literature. These use the same equations, but are often written in a way that hides the underlying geometry and make it difficult to see the similarity in approaches between different papers. This paper provides a review of TOA and AOA-based localization approaches, with a focus on linear positioning algorithms. This paper presents simple and consistent versions of TOA, TDOA, and AOA position equations with intuitive explanations for how those equations relate to the geometry of the localization problem. This perspective can make it easier to implement these algorithms in a way that produces stable results and provides insight into the underlying geometric problem. We also review the literature relating to TDOA and AOA localization algorithms and multistatic radar.

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“…[79]- [83]. The form shown here, using sine and cosine, is far more common [26], [29], [31]- [33], [37]- [47], [53]- [61],…”

Section: ) Azimuth and Elevation Angle Of Arrival (Aoa)mentioning

confidence: 99%

Section: Multistatic Radarmentioning

confidence: 99%

Section: Multistatic Radarmentioning

confidence: 99%

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A Review of Linear Multilateration Techniques and Applications

Widdison,

Long

2024

IEEE Access

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“…, and each unknown parameter is independent of each other. Combining (22), (25), and (26), the relationship between the observation vector obtained by different ordinary nodes and the estimated parameter vector can be written as the following linear equation:…”

Section: A First Stagementioning

confidence: 99%

A Hybrid Localization Algorithm Based on Doppler Shift and AOA for an Underwater Mobile Node

Hao

Xue

et al. 2020

IEEE Access

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To solve the problem of low accuracy of a mobile node localization in an underwater sensor network, this paper proposes a hybrid localization algorithm based on Doppler shift and angle of arrival (AOA) for the underwater mobile node (DAHL). This algorithm utilizes the Doppler frequency shift between the different signals received from the anchor node and the mobile node and the AOA measurement of the signal reflected by the mobile node to estimate the instantaneous position and velocity information of the mobile node through a two-stage algebraic method. In view of the existing measurement errors in the actual situation, the position and velocity estimation errors of the mobile node are optimized by introducing auxiliary parameters. Theoretical analysis and simulation experiments show that the DAHL method can effectively improve the localization accuracy of the mobile node. The localization accuracy of this algorithm can be close to the Cramér-Rao Lower Bound (CRLB) with the condition of small measurement errors.

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Joint processing of measurements in a rangefinder-doppler multistatic radar system

Borisov

2020

Naučn. vestn. MGTU GA

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8 ТРАНСПОРТ 05.22.01 -Транспортные и транспортно-технологические системы страны, ее регионов и городов, организация производства на транспорте; 05.22.08 -Управление процессами перевозок; 05.22.13 -Навигация и управление воздушным движением; 05.22.14 -Эксплуатация воздушного транспорта UDC 621.396.969.1The article considers the option of organizing joint processing of radar information in a multistatic rangefinder -doppler radar system. The least-squares method is used to obtain analytical expressions for oblique ranges and radial velocities of targets during joint processing of range-finding measurements of various types. The obtained expressions for inclined ranges have some similarities with the secondary processing of radar information, with the only difference being that the weighting coefficients for the evaluated parameters are updated in the case of successive measurements as data are received, and in the case of joint processing, they depend on the number of positions and the number of measurements. It is shown that the joint processing of measurements of the inclined range, the sum of the distances, the radial velocity and the rate of change of the total range allows to increase the accuracy of measuring the location of an air object and the projections of its velocity vector on the axis of a rectangular coordinate system. The physical basis for increasing the accuracy of positioning is to use redundant measurements by processing the total ranges. The considered option of processing redundant measurements in a multistatic radar system does not require time to accumulate data, and the task of increasing accuracy is solved in one measurement cycle. The potential accuracy of determining the location of an air object for different values of the standard errors of the determination of rangefinding parameters in a multistatic radar system at various distances between positions has been calculated. For an arbitrary trajectory of an air object, simulationstatistical modeling was performed, which allows to obtain the mean square errors of determining the location and velocity vector of the air object. A gain is shown in the accuracy of determining the location and velocity vector of an air object in comparison with traditional algorithms for determining coordinates in long-range multistatic radar systems.

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Target localisation in multistatic radar using BR, TDOA, and AOA measurements

Cited by 3 publications

References 16 publications

A Review of Linear Multilateration Techniques and Applications

A Review of Linear Multilateration Techniques and Applications

A Hybrid Localization Algorithm Based on Doppler Shift and AOA for an Underwater Mobile Node

Joint processing of measurements in a rangefinder-doppler multistatic radar system

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