A nonlinear programming based universal optimization model of TDOA passive location

Ma, Fangli; Yang, Xu; Xu, Peng

doi:10.1109/iske.2017.8258784

Cited by 1 publication

(4 citation statements)

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“…The drawing method can judge the intersection points manually, but it is difficult to solve them automatically. Here, an optimal localization modeling method based on unconstrained nonlinear programming is adopted [13,14].…”

Section: Optimization Methods Of Rssd Localizationmentioning

confidence: 99%

“…The issues of the RSSD localization are similar to that of the TDOA localization [14], also are the nonlinear programming problems. There are many methods to solve them, whereas the non-classical methods are not appropriate because of its convergence, which is difficult to be used for comparing the performances of different localization networks.…”

Section: Optimization Methods Of Rssd Localizationmentioning

confidence: 99%

“…If there are n monitoring stations that can receive a certain signal and the signal strength level difference between the waves reaching these stations can be measured, then the localization equations composed of n(n − 1)/2 equations can be obtained at (14).…”

Section: Rssd Localization Equationmentioning

confidence: 99%

“…The coordinates of the signal source is set as (x 0 , y 0 ). When the number of monitoring stations is 3, there are two groups of solutions to (14). When the known numbers are concrete numbers, it is easy to solve.…”

Section: Analytical Proof Of the Least Stationsmentioning

confidence: 99%

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Research on the Minimum Size of Received Signal Strength Difference Localization Network

2021

Int J Comput Intell Syst

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The received signal strength difference (RSSD) localization is a kind of method to locate emission sources by measuring the differences of received signal strength level between the monitoring stations and is essentially the truth value ratios of measured signal strength. In the existing literatures, only the rule of RSSD localization circle of two monitoring stations and the geometric relation of RSSD localization circle of five monitoring stations were analyzed, but the number and the station layout of the minimum RSSD localization network have not been investigated. In the present work, first, based on the existing RSSD localization equation, the constants of the commonly used wave propagation models are provided. Then, the minimum RSSD localization network is proved through algebraic analysis, which is that four monitoring stations not distributed on a straight line can locate the signal source at one point. The relationship between the localization accuracy and the signal strength error of the RSSD location network with different scales is studied further and formulated as a nonlinear programming optimization problem. It is found that the localization stability of the network with four stations is poor, and there is a serious localization deviation outlier phenomenon. Therefore, the network with four stations is not available for radio monitoring networks with a signal strength error of ± 5 to ± 10 dB. The RSSD network with five stations is basically the minimum available size, and the RSSD network with nine stations can approach the localization accuracy of the angle of arrival (AOA) network with three stations.

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Section: Optimization Methods Of Rssd Localizationmentioning

confidence: 99%

Section: Optimization Methods Of Rssd Localizationmentioning

confidence: 99%

Section: Rssd Localization Equationmentioning

confidence: 99%

Section: Analytical Proof Of the Least Stationsmentioning

confidence: 99%

See 2 more Smart Citations

A nonlinear programming based universal optimization model of TDOA passive location

Cited by 1 publication

References 5 publications

Research on the Minimum Size of Received Signal Strength Difference Localization Network

Research on the Minimum Size of Received Signal Strength Difference Localization Network

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