Energy-efficient multidimensional Hellinger modulation for SPAD-based optical wireless communications

Si-Ma, Ling-Han; Zhang, Jian; Wang, Binqiang; Zhang, Yanyu

doi:10.1364/oe.25.022178

Cited by 5 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite its simpler form in (9) compared to (7), the GLRT method in (9) has the following drawbacks: 1) The prior knowledge of statistics of h is not exploited in (8), resulting in a detection performance degradation; 2) Regarding the estimation of the continuous random variable h conditioned on s, the MMSE estimator, rather than the ML estimator in (8), is proven optimal in terms of estimation accuracy.…”

Section: Glrt Methodsmentioning

confidence: 99%

“…To realize long-distance transmission under the weak optical intensity, single photon avalanche diode (SPAD) is employed for the optical signal detection because of its high sensitivity [7]. Different from traditional photodiodes, the output of SPAD depends on the number of photons, which is typically modeled as Poisson distribution [8], [9]. As a result, conventional detection approaches for Gaussian channels cannot be directly applied in the SPAD based OWC system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Incorporating Importance Sampling in EM Learning for Sequence Detection in SPAD Underwater OWC

Huang

Chen

et al. 2019

IEEE Access

View full text Add to dashboard Cite

In this paper, an importance sampling-based expectation-maximization (EMIS) algorithm is developed for sequence detection in single-photon avalanche diode underwater optical wireless communication (OWC) systems. To be more specific, the expectation-maximization (EM) algorithm in statistic learning provides a general framework for the sequence detection, and the importance sampling (IS) method is employed for evaluating the minimum mean-square error estimates required in the EM algorithm. Theoretical analysis indicates that the developed EMIS algorithm achieves near-optimal performance with low-complexity symbol-by-symbol detection. The simulation results verify the effectiveness of the proposed EMIS algorithm. INDEX TERMS Underwater optical wireless communication (OWC), single-photon avalanche diode (SPAD), lognormal channel, sequence detection, importance sampling (IS), expectation-maximization (EM) learning.

show abstract

Section: Glrt Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Incorporating Importance Sampling in EM Learning for Sequence Detection in SPAD Underwater OWC

Huang

Chen

et al. 2019

IEEE Access

View full text Add to dashboard Cite

show abstract

“…More recently, a square-root type transform was proposed to convert the DTP channel into a well-studied Gaussian channel [20], [21]. Based on a similar principle, the authors in [22]- [24] established Anscombe root (AR) receiver and further developed a Hellinger distance criterion for one-dimensional and multi-dimensional signal design. This inspires us to design a signal for multi-user case with the aid of the Hellinger distance criterion such that the multiuser interference is well managed.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Uniquely-Decomposable Multilayer Modulation for Peak-Limited Broadcast DTP Channels

Si-Ma

Zhang

2018

IEEE Photonics J.

Self Cite

View full text Add to dashboard Cite

A multilayer modulation for peak-limited broadcast Poisson channel is designed and consists of three key elements: the transmitted symbol set, the users' data space, and the data-to-symbol mapping. For energy-efficiency, the transmitted symbols are modulated by the square pulse amplitude modulation. Meanwhile, a concept of uniquely decomposable constellation group is developed to resist the nonnegative multiuser interference in power domain. Combining this concept and the transmitted symbol structure, we design the users' data space and the data-to-symbol mapping such that, for this mapping, the transmitted symbol can be uniquely decomposed as elements of users' data space. The above described structure of the multilayer modulation enables not only efficient demodulation of the transmitted symbol from Poisson noisy received signal but also data decoding for each user from the estimation of the transmitted symbol. Extensive computer simulations indicate that the multilayer modulation not only has better overall error performance than the currently available time-sharing protocol, but also allows us to flexibly assign different priority. Additionally, a low-complexity receiver is established for the proposed multilayer modulation, whose error performance gradually approximates that of maximum likelihood receiver with the increment of optical power.

show abstract

Extremely Weak Signal Detection Algorithm of Multi-Pixel Photon Detector

Yang

Zhao

Wang

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

For the detection of extremely weak signals in underwater long distance wireless optical communication, the Geiger mode of the multi pixel photon detector has serious pulse superposition effect and Poisson noise, which leads to counting difficulties and affects the measurement accuracy. This paper proposes a deconvolution joint generalized Anscombe transform (DUGAT) detection algorithm. First, the deconvolution filtering technology is used to process the weak signal to reduce the superposition effect and converge the pulse width. Secondly, the noise signal of Poisson+Gaussian (P+G) distribution is converted into Gaussian variable by using generalized Anscombe transform (GAT), which is equivalent to additive Gaussian noise signal. Finally, the symbols are counted by hard decision algorithm. The experimental results show that the sensitivity of this algorithm is improved by 8.57dB and 9.95dB respectively compared with the traditional AR and ML detection algorithms.

show abstract

Energy-efficient multidimensional Hellinger modulation for SPAD-based optical wireless communications

Cited by 5 publications

References 35 publications

Incorporating Importance Sampling in EM Learning for Sequence Detection in SPAD Underwater OWC

Incorporating Importance Sampling in EM Learning for Sequence Detection in SPAD Underwater OWC

Energy-Efficient Uniquely-Decomposable Multilayer Modulation for Peak-Limited Broadcast DTP Channels

Extremely Weak Signal Detection Algorithm of Multi-Pixel Photon Detector

Contact Info

Product

Resources

About