Uncooperative Emitter Localization Using Signal Strength in Uncalibrated Mobile Networks

Beck, Brian; Lanh, Soradhmuny; Baxley, Robert J.; Ma, Xiaoli

doi:10.1109/twc.2017.2749231

Cited by 18 publications

(3 citation statements)

References 52 publications

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“…The channel parameters are generated as follows: p 0LOS ∼ U[−30, 0], α LOS ∼ U [2,4], σ LOS = 6, while, for the NLoS case, p 0NLOS ∼ N (0, 25), α NLOS ∼ U [3,6], σ NLOS = 12. Similar settings on the reference power and the path loss exponent can be found in [46] and [47], respectively. At each MC trial, N u = 10 agents are randomly (uniformly) generated in the coverage area.…”

Section: Resultsmentioning

confidence: 86%

Robust distributed cooperative RSS-based localization for directed graphs in mixed LoS/NLoS environments

Carlino

Jin

Muma

et al. 2019

J Wireless Com Network

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The accurate and low-cost localization of sensors using a wireless sensor network is critically required in a wide range of today's applications. We propose a novel, robust maximum likelihood-type method for distributed cooperative received signal strength-based localization in wireless sensor networks. To cope with mixed LoS/NLoS conditions, we model the measurements using a two-component Gaussian mixture model. The relevant channel parameters, including the reference path loss, the path loss exponent and the variance of the measurement error, for both LoS and NLoS conditions, are assumed to be unknown deterministic parameters and are adaptively estimated. Unlike existing algorithms, the proposed method naturally takes into account the (possible) asymmetry of links between nodes. The proposed approach has a communication overhead upper-bounded by a quadratic function of the number of nodes and computational complexity scaling linearly with it. The convergence of the proposed method is guaranteed for compatible network graphs and compatibility can be tested a priori by restating the problem as a graph coloring problem. Simulation results, carried out in comparison to a centralized benchmark algorithm, demonstrate the good overall performance and high robustness in mixed LoS/NLoS environments.

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Section: Resultsmentioning

confidence: 86%

Robust distributed cooperative RSS-based localization for directed graphs in mixed LoS/NLoS environments

Carlino

Jin

Muma

et al. 2019

J Wireless Com Network

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“…However, some works have considered directly measuring the transmitter location from the RSS by dropping this requirement. For instance, the uncooperative emitter localization system was developed in [264,265], which used a listen only uncalibrated receiver. In this approach, the authors developed the bias effects such as additive random variables for an individual receiver in the path loss model.…”

Section: Uncooperative Localization Approachmentioning

confidence: 99%

Review of Indoor Positioning: Radio Wave Technology

Geok

Aung

et al. 2020

Applied Sciences

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The indoor positioning system (IPS) is becoming increasing important in accurately determining the locations of objects by the utilization of micro-electro-mechanical-systems (MEMS) involving smartphone sensors, embedded sources, mapping localizations, and wireless communication networks. Generally, a global positioning system (GPS) may not be effective in servicing the reality of a complex indoor environment, due to the limitations of the line-of-sight (LoS) path from the satellite. Different techniques have been used in indoor localization services (ILSs) in order to solve particular issues, such as multipath environments, the energy inefficiency of long-term battery usage, intensive labour and the resources of offline information collection and the estimation of accumulated positioning errors. Moreover, advanced algorithms, machine learning, and valuable algorithms have given rise to effective ways in determining indoor locations. This paper presents a comprehensive review on the positioning algorithms for indoors, based on advances reported in radio wave, infrared, visible light, sound, and magnetic field technologies. The traditional ranging parameters in addition to advanced parameters such as channel state information (CSI), reference signal received power (RSRP), and reference signal received quality (RSRQ) are also presented for distance estimation in localization systems. In summary, the recent advanced algorithms can offer precise positioning behaviour for an unknown environment in indoor locations.

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“…Emitter localization based on multiple passive moving receivers has been receiving growing attention for many years due to its important military and civilian application values [1][2][3][4]. Passive localization usually includes two steps: firstly, several receivers intercept the signal emitted by a source and measure the proper positioning measurements such as received signal strength (RSS), angle of arrival (AOA), time of arrival (TOA), time difference of arrival (TDOA), and frequency difference of arrival (FDOA), and then use them to obtain the source location [5][6][7][8][9][10][11][12][13][14]. The estimation accuracy of RSS is sensitive to the channel environment.…”

Section: Introductionmentioning

confidence: 99%

An algebraic method for moving source localization using TDOA, FDOA, and differential Doppler rate measurements with receiver location errors

Liu

Zhao

et al. 2019

EURASIP J. Adv. Signal Process.

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To weaken the effect of receiver location error on localization accuracy and make the localization model closer to the practical scenario, this paper considers the receiver location errors, usually neglected in prior studies into the measurement model, and proposes an algebraic method for locating a moving source using time difference of arrival (TDOA), frequency difference of arrival (FDOA), and differential Doppler rate measurements. The proposed method is based on the pseudo-linear set of equations and two-step weighted least square estimator. Only noise values of receiver locations and three types of positioning measurements are available for processing. In addition, a new Cramér-Rao lower bound (CRLB) combining TDOA, FDOA, and differential Doppler rate in the presence of receiver location errors is also derived in this paper. Theoretical analysis and simulation results both indicate that the proposed method can attain CRLB at a moderate noise level, avoid the rank deficiency problem efficiently, and achieve a significant improvement over the existing methods.

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Uncooperative Emitter Localization Using Signal Strength in Uncalibrated Mobile Networks

Cited by 18 publications

References 52 publications

Robust distributed cooperative RSS-based localization for directed graphs in mixed LoS/NLoS environments

Robust distributed cooperative RSS-based localization for directed graphs in mixed LoS/NLoS environments

Review of Indoor Positioning: Radio Wave Technology

An algebraic method for moving source localization using TDOA, FDOA, and differential Doppler rate measurements with receiver location errors

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