Asymptotically Efficient Target Localization From Bistatic Range Measurements in Distributed MIMO Radars

Amiri, Rouhollah; Behnia, Fereidoon; Zamani, Hamed

doi:10.1109/lsp.2017.2660545

Cited by 107 publications

(87 citation statements)

References 17 publications

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“…Localization methods [6][7][8][9][10][11][12][13] in MIMO systems can be attributed to use different measurements, including time delay (TD), bistatic range (BR), angle of arrival (AOA), and their combinations. The doppler shift (DS) and bistatic range rate (BRR) can be also utilized when the source and/or receivers are moving [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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An efficient estimator for source localization using TD and AOA measurements in MIMO radar systems

Liu

Gao

Zhao

et al. 2020

Preprint

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By utilizing time delay (TD) and angle of arrival (AOA) measurements, three dimensional (3D) target localization based on multi-input and multi-output (MIMO) radar systems is studied in this letter. For such a positioning problem, the typical closed-form solution firstly establishes pseudolinear equation and then applies the weighted least squares (WLS) to determine the final position.However, the WLS solution often suffers performance degradation when the noise is large. To alleviate this problem, the cost function of the WLS is re-represented and a quadratic constraint is imposed such that the expectation of the cost function can attain the minimum value at the true position. Moreover, simulation experiments show that the proposed method performs better than the state-of art algorithms.

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Section: Introductionmentioning

confidence: 99%

“…In [9] a different WLS algorithm has been proposed which solves the problem in a centralized manner. By introducing nuisance parameters, a pseudo-linear set of BR equations is established in [10]. And the final solution was obtained by using multistage weighted least squares estimation.…”

Section: Introductionmentioning

confidence: 99%

An efficient estimator for source localization using TD and AOA measurements in MIMO radar systems

Liu

Gao

Zhao

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Then the target is at the intersection of all these ellipses [7]. The elliptical location encountered in the multistatic sonar systems has also been considered in the MIMO radar [14][15][16][17][18][19][20], multistatic radar [21][22][23][24][25] and indoor positioning systems [26,27].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Non-Iterative Estimator for Target Location in Multistatic Sonar Systems with Sensor Position Uncertainties

Wang

Yang

et al. 2020

Mathematics

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Target location is the basic application of a multistatic sonar system. Determining the position/velocity vector of a target from the related sonar observations is a nonlinear estimation problem. The presence of possible sensor position uncertainties turns this problem into a more challenging hybrid parameter estimation problem. Conventional gradient-based iterative estimators suffer from the problems of initialization difficulties and local convergence. Even if there is no problem with initialization and convergence, a large computational cost is required in most cases. In view of these drawbacks, we develop a computationally efficient non-iterative position/velocity estimator. The main numerical computation involved is the weighted least squares optimization, which makes the estimator computationally efficient. Parameter transformation, model linearization and two-stage processing are exploited to prevent the estimator from iterative computation. Through performance analysis and experimental verification, we find that the proposed estimator reaches the hybrid Cramér–Rao bound and has linear computational complexity.

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“…e classical problem of position and velocity estimation in the multistatic radar system receives great attentions in recent years due to its importance to detection, parameter estimation, tracking, surveillance, and navigation systems [1][2][3]. Generally, there are two modes for the multistatic radar system [4,5], one is that a multistatic radar system consists of one transmitter and N receivers (T-R N ) [6] and the other is that the multistatic radar system which is composed of M identical transmitters and N identical receivers, radiating in a common coverage area (T M -R N ) [3].…”

Section: Introductionmentioning

confidence: 99%

Joint Position and Velocity Estimation of a Moving Target in Multistatic Radar by Bistatic Range, TDOA, and Doppler Shifts

Yang

Gao

et al. 2019

International Journal of Antennas and Propagation

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In this paper, an estimation algorithm for the position and velocity of a moving target in a multistatic radar system is investigated. Estimation accuracy is improved by using bistatic range (BR), time-difference-of-arrival (TDOA), and Doppler shifts. Multistatic radar system includes several independent receivers and transmitters of time synchronization. Different transmitters radiate signals of different frequencies, and receivers detect the Doppler shifts of the received signals. These estimation parameters, BR, TDOA, and Doppler shifts, are readily available. The proposed algorithm combines different estimated parameters and optimizes estimation accuracy by two-step weighted least squares minimisations (WLS). This estimation algorithm is analysed and verified by simulations, which can reach the Cramer–Rao lower bound (CRLB) performance under mild Gaussian noise when the measurement error is small. Numerical simulations also demonstrate the superior performance of this method.

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Asymptotically Efficient Target Localization From Bistatic Range Measurements in Distributed MIMO Radars

Cited by 107 publications

References 17 publications

An efficient estimator for source localization using TD and AOA measurements in MIMO radar systems

An efficient estimator for source localization using TD and AOA measurements in MIMO radar systems

Design and Analysis of a Non-Iterative Estimator for Target Location in Multistatic Sonar Systems with Sensor Position Uncertainties

Joint Position and Velocity Estimation of a Moving Target in Multistatic Radar by Bistatic Range, TDOA, and Doppler Shifts

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