Are Cramér‐Rao lower bounds an accurate estimate for standard deviations in in vivo magnetic resonance spectroscopy?
Sign Up to like & getrecommendations! Published in 2021 at "NMR in Biomedicine"
DOI: 10.1002/nbm.4521
Abstract: Due to inherent time constraints for in vivo experiments, it is infeasible to repeat multiple MRS scans to estimate standard deviations on the desired measured parameters. As such, the Cramér‐Rao lower bounds (CRLBs) have become… read more here.
Keywords: cram rao; standard deviations; lower bounds; spectroscopy ... See more keywords
Cramér–Rao lower bound for ATSC signal‐based passive radar systems
Sign Up to like & getrecommendations! Published in 2019 at "Electronics Letters"
DOI: 10.1049/el.2019.0011
Abstract: In multistatic passive radar systems, the Cramer–Rao lower bound (CRLB) can be used to select the optimal illuminator of opportunity so that it provides the best estimation accuracy for target parameters. In this Letter, the… read more here.
Keywords: rao lower; lower bound; radar systems; passive radar ... See more keywords
Cramér–Rao Lower Bound Analysis of Differential Signal Strength Fingerprinting for Crowdsourced IoT Localization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3235921
Abstract: Crowdsourcing is considered an efficient and promising paradigm for constructing large-scale signal fingerprint radio maps due to the proliferation of Wi-Fi-enabled devices. However, a crowdsourced indoor positioning system (IPS) has to handle diverse devices and… read more here.
Keywords: localization; lower bound; signal strength; rao lower ... See more keywords
Cramér-Rao Lower Bound for State-Constrained Nonlinear Filtering
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2764540
Abstract: This letter presents a mean-square error lower bound for state estimation of nonlinear stochastic systems under given differentiable state constraints. Its recursive formulation permits incorporation of random process and measurement errors and is shown to… read more here.
Keywords: cram rao; bound state; bound; lower bound ... See more keywords
Cramér–Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3224681
Abstract: Intelligent reflecting surface (IRS) is a rapidly emerging paradigm to enable non-line-of-sight (NLoS) wireless transmission. In this paper, we focus on IRS-aided radar estimation performance of a moving hidden or NLoS target. Unlike prior works… read more here.
Keywords: lower bound; aided radar; rao lower; irs aided ... See more keywords
Cramér–Rao Lower Bound for Unbiased Estimators of Sampled Noisy Sine-Wave Parameters
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3122791
Abstract: In this article, the Cramér–Rao lower bounds (CRLBs) for unbiased estimators of sampled real-valued sine-wave parameters are analyzed. Sine-wave frequency is assumed either known or unknown, and both coherent and noncoherent sampling conditions are considered.… read more here.
Keywords: estimators sampled; cram rao; unbiased estimators; wave ... See more keywords
Exponential Mixture Density Based Approximation to Posterior Cramr-Rao Lower Bound for Distributed Target Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3148540
Abstract: The posterior Cramr-Rao lower bound (PCRLB) and a number of its extensions including the unconditional PCRLB (U-PCRLB) and the conditional PCRLB (C-PCRLB) have been widely studied in multi-sensor target tracking (MSTT). Previous MSTT works assume… read more here.
Keywords: cramr rao; pcrlb; posterior cramr; approximation ... See more keywords