A Maximum Logarithmic Maximum <i>a Posteriori</i> Probability Based Soft-Input Soft-Output Detector for the Coded Spatial Modulation Systems

Liu, Tsung-Hsien; Jiang, Ting-Xu; Chung, Ching-Che; Chu, Yuan-Sun

doi:10.1109/tcsi.2022.3181629

Cited by 3 publications

(1 citation statement)

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“…MAP is a probability estimation method based on the Bayesian theorem, which is used to estimate the most likely value of an unknown random variable under the condition of given observations. The goal of MAP estimation is to find the parameter value with the maximum posterior probability, where the posterior probability refers to the conditional probability of the parameter value in the case of a given observation [24]. Based on the MAP detector, the optimal location qj MAP for the jth PD estimated by the proposed scheme is given by…”

Section: B Map-based Position Estimationmentioning

confidence: 99%

PoE-Enabled Visible Light Positioning Network With Low Bandwidth Requirement and High Precision Pulse Reconstruction

Wang,

Huang,

Chen

et al. 2024

J. Ind. Sea. Pos. Nav.

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The power over Ethernet (PoE)-enabled visible light positioning (VLP) networks as a promising technology can significantly enhance accuracy and costeffectiveness of indoor positioning. However, both the limited bandwidth of the light-emitting diode (LED) and the low sampling rate of the receiver have a negative impact on the positioning performance. Moreover, time synchronization requirements between transmitters and between transceivers become more stringent in a resourceconstrained VLP network. To address these issues, a PoEenabled VLP scheme with low bandwidth requirement and high-precision pulse reconstruction is proposed in the paper. Specifically, the precision time protocol and synchronous Ethernet are introduced to realize the synchronization transmission. Meanwhile, an on-off keying (OOK) modulation-based beacon signal is designed to unlock both the transceivers' synchronization and bandwidth requirements. Then, a high-precision pulse reconstruction method considering the LED model and impulse response is established to enhance the signal quality. Moreover, the position is estimated based on the maximum a posteriori (MAP) probability criterion. Experimental results obtained by the VLP testbed demonstrate that the proposed scheme outperforms the benchmark positioning schemes. It achieves a positioning accuracy of 1.7 cm by using the reconstructed 2 GHz sampling rate in the case of a bandwidth of 50 MHz and a real sampling rate of 100 MHz. Last but not least, the proposed scheme maintains positioning accuracy within 30 cm even with a few MHz bandwidth of LED.

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Section: B Map-based Position Estimationmentioning

confidence: 99%