Relaxed direct position estimation as strategy for open-loop GNSS receivers

Daniel, Ondrej; Lohan, Elena Simona; Nurmi, Jari

doi:10.1109/icl-gnss.2015.7217156

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…It exploits the signal correlation function as soft hypotheses and avoids point estimations for ranging. In additive white Gaussian noise (AWGN) and noncooperative scenarios, DPE has been proven to outperform the traditional two-step approaches in the presence of low SNR, which is utilized for GNSS receiver design [21], [44]. Concerning multipath scenarios, [45], [46] attempted to extend DPE to non-parametric maximum a posteriori (MAP) location estimators taking all MPCs into consideration.…”

Section: ) Multi-link Fusionmentioning

confidence: 99%

Distributed Direct Localization Suitable for Dense Networks

Zhang

Staudinger

Jost

et al. 2020

IEEE Trans. Aerosp. Electron. Syst.

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Traditional network localization algorithms contain ranging and localization steps, which have systematic disadvantages. We propose an algorithm dubbed direct particle filter based distributed network localization (DiPNet). A node's location is directly estimated from the received signals, incorporating location uncertainty of neighboring nodes. The propagation effects on DiPNet become insignificant for dense networks, due to the massive-link collective physical layer processing. DiPNet achieves a near-optimal performance with low complexity, which is particularly attractive for realtime dense-network localization.

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Section: ) Multi-link Fusionmentioning

confidence: 99%

Distributed Direct Localization Suitable for Dense Networks

Zhang

Staudinger

Jost

et al. 2020

IEEE Trans. Aerosp. Electron. Syst.

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Asymptotic Performance of GNSS Positioning Approaches under Cross-Correlation Effects

Duan,

Wei,

Tang

2024

Remote Sensing

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Conventional global navigation satellite system receivers typically employ a two-step positioning procedure (2SP) by first independently estimating the synchronization parameters and then using these parameters to solve a system of superdeterministic equations derived from multilateration to accomplish positioning. Direct position estimation (DPE) has emerged as a promising alternative that utilizes a single-step procedure to obtain the maximum likelihood estimate of a position. This approach has been shown to effectively mitigate biases incurred by the second estimation step in 2SP. However, for code-division multiple-access systems, the pseudo-orthogonality of the spreading codes causes the estimation problem not to be mapped to a perfectly orthogonal space. Additionally, the cross-correlation interference between satellites renders the maximum likelihood invariant theory untenable in the first estimation step of the 2SP. This study presents the derivation of the Cramér–Rao bound constraint for both the 2SP and DPE, evaluating the performance degradation of the 2SP compared to that of the DPE with the consideration of cross-correlation. Furthermore, a more stringent result is proven, indicating that the 2SP is not as asymptotically efficient as the DPE in all scenarios. The derived bounds are validated using realistic scenarios, and the root-mean-square error performance of the respective maximum likelihood estimators is compared.

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Relaxed direct position estimation as strategy for open-loop GNSS receivers

Cited by 2 publications

References 10 publications

Distributed Direct Localization Suitable for Dense Networks

Distributed Direct Localization Suitable for Dense Networks

Asymptotic Performance of GNSS Positioning Approaches under Cross-Correlation Effects

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