Iteration improvement of Taylor-series estimation using hyperbolic systems for FM-radio source localization in Bangkok

Phruksahiran, Narathep; Michanan, Junya

doi:10.1007/s11760-020-01747-8

Cited by 4 publications

(5 citation statements)

References 20 publications

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“…In this section, we evaluate the estimation performance of our proposed algorithm via extensive numerical simulations. We compare our proposed algorithm with other estimation algorithms, that is the TS algorithm [22], the NILS algorithm [23] and the Cramer-Rao Lower Bound (CRLB). The CRLB provides the lower bound on the covariance of any unbiased estimators.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…To ensure that the number of equations is not smaller than the number of unknowns, at least

k \geq 3

is required. It should be emphasised that model (6) is different from the cost‐inefficient stationary clock bias model [22–24] using all measurements to obtain a single estimation. On the contrary, it is obvious that the dimensions of model (6) dynamically changes versus the number of time steps, which means the increase of computational complexity.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…An approach is to eliminate unknown clock bias with the help of a direct acoustic wave [19][20][21], which will increase the complexity of the system and the non-linearity degree of the localization model. Another strategy is to estimate the unknown clock bias using measurement data [22][23][24]. Compared with the elimination method, the estimation method can achieve better localization accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…Essentially, the clock bias is estimated by solving a non‐linear parameter estimation problem. The Taylor‐series (TS) algorithm [22] and Newton‐iteration least square (NILS) algorithm [23] have been used to solve the non‐linear problem by using an iteration scheme, which are easy to fall into the local optimal point and get an unsatisfactory solution in the case of the bad initial value. Moreover, the iteration algorithms have a very high computational complexity in the process of estimation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A cost‐efficient joint target location and clock bias estimation technique using multiple time step measurements in mobile bistatic sonar

Zhang

Shi

et al. 2021

IET Radar Sonar & Navi

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Active localization of a stationary target is one key issue in applications of bistatic sonar based on bistatic range (BR) measurement. However, the complex underwater environment makes achieving the synchronization between the transmitted station and the received station difficult. For solving the synchronization problem, this study relies on mobile bistatic sonar to acquire measurement information at multiple time steps. After that, the target location and clock bias are jointly estimated by solving a non-linear least square problem. To this end, a recursive scheme is proposed to optimise the measurement cost and reduce the impact of the initial value to achieve accurate estimation by taking full advantage of the redundant measurement information. Orthogonal transformation is used to ensure computational efficiency and numerical reliability. The Cramer-Rao Lower Bound (CRLB) is also derived as a lower bound on the error in estimating the target position and clock bias. Simulation results show that the proposed method achieves the CRLB performance and optimises the measurement cost over the small error region under Gaussian noise.

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Section: Numerical Resultsmentioning

confidence: 99%

“…To ensure that the number of equations is not smaller than the number of unknowns, at least

k \geq 3

Section: System Model and Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A cost‐efficient joint target location and clock bias estimation technique using multiple time step measurements in mobile bistatic sonar

Zhang

Shi

et al. 2021

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…Therefore, this approach requires six anchor nodes to position the target node. However, there are other numerical methods that can be used to calculate the target position with fewer anchor nodes, such as in [34].…”

Section: Time Difference Of Arrivalmentioning

confidence: 99%

Robust Decentralized Proof of Location for Blockchain Energy Applications Using Game Theory and Random Selection

et al. 2022

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To combat the problem of illegal access to a service, several location proof strategies have been proposed in the literature. In blockchain-based decentralized applications, transactions can be issued by IoT nodes or other automated smart devices. Key pair encryption and private key signing have been defined mainly for human identification in blockchain applications, where users are personally and responsibly concerned about the confidentiality of their private key. These methods are not suitable for computing nodes whose private key is implemented in the software they run. Ensuring that transactions are issued by a legitimate sender with the proper credentials is a bigger concern in applications with financial stakes. This is the case with blockchain energy trading platforms, where prosumers are credited with tokens in exchange for their contributions of energy. The tokens are issued by smart meter nodes installed at fixed locations to monitor the energy inputs and outputs of a given prosumer and claim energy tokens on its behalf from a defined smart contract in exchange for the energy it feeds into the grid. To this end, we have developed a decentralized Proof-of-Location (PoL) system tailored to blockchain applications for energy trading. It ensures that automated transactions are issued by the right nodes by using smart contract-based random selection and a game-theoretic scenario suitable for blockchain energy trading.

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Improvement of source localization via cellular network using machine learning approach

Phruksahiran¹

2023

Telecommun Syst

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Iteration improvement of Taylor-series estimation using hyperbolic systems for FM-radio source localization in Bangkok

Cited by 4 publications

References 20 publications

A cost‐efficient joint target location and clock bias estimation technique using multiple time step measurements in mobile bistatic sonar

A cost‐efficient joint target location and clock bias estimation technique using multiple time step measurements in mobile bistatic sonar

Robust Decentralized Proof of Location for Blockchain Energy Applications Using Game Theory and Random Selection

Improvement of source localization via cellular network using machine learning approach

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