SPCS 2017 Abstracts


Area 1 - Biomedical Signal Processing

Full Papers
Paper Nr: 3
Title:

The Principles and Implementation of a Practical Application of the Device for Data Transmission through the Human Body based on Capacitive Coupling

Authors:

Dmitry Suchkov, Alexander Granov, Andrey Simonov, Andrey Starikovskiy and Anastasia Tolstaya

Abstract: The article describes the implementation of a device allowing to transmit data through the human body using a Human Body Communication technology. The authors have shown the shortcomings identified in the earlier version of the device (bracelet), they provide directions of modernization of the board and propose solutions to finalize the data transfer protocol. The prototype of the device is described and the results of experiments on the transmission of data packets of varying sizes are presented.

Area 2 - Communication Systems

Full Papers
Paper Nr: 9
Title:

A 6GS/S 8-Bit Current Steering DAC with Optimized Current Switch Drive

Authors:

Wenyuan Li, Juan Zhang and Chuyang Sun

Abstract: A 6GS/s 8-bit current-steering DAC in 0.13μm CMOS technology is presented. The 5-31 binary to thermometer decoder and the switch drive signal are optimized, leading to obvious improvements in dynamic performance. A minimum spurious free dynamic range (SFDR) of 34 dB has been achieved over the full Nyquist bandwidth at 6GS/s. Total system power consumption is 95.44mW at 6GS/s with 2.98GHz input signal. Core area of DAC occupies 0.13mm2 without pads.

Short Papers
Paper Nr: 1
Title:

Channel Estimation for Space-Time Block Coded OFDM Systems using Few Received Symbols

Authors:

Biling Zhang, Yipu Yuan, Jung-Lang Yu, Wei-Ting Hsu and Yu-Jie Huang

Abstract: A novel subspace channel estimation is proposed for space-time block coded (STBC) multiple-input multiple–output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Considering the zero-padding technique, the signal model of the STBC-OFDM system is first studied. The major drawback of the subspace method is the slow convergence which requires a large number of received symbols to compute the noise subspace. The repetition index scheme is developed here to increase the number of equivalent received symbols. Using the space-time coding property, the forward-backward method is presented to improve the convergence speed further. Moreover, the repetition index scheme transforms the white noise into non-white one. The noise prewhitening technique is proposed to reduce the non-white noise effect. Computer simulations show the effectiveness of the proposed forward-backward method and noise prewhitening technique.

Paper Nr: 4
Title:

Adaptive Transmission Scheme for Vehicle Communication System

Authors:

Sangmi Moon, Sara Bae, Myeonghun Chu, Jihye Lee, Soonho Kwon and Intae Hwang

Abstract: Advances in Vehicle-to-Everything (V2X) communication attempt to enhance traffic safety by employing advanced wireless communication systems. V2X communication is a core solution to manage and advance future traffic safety and mobility. In this study, we design a system-level simulator (SLS) for Long Term Evolution (LTE)-based V2X and propose an adaptive transmission scheme for vehicle communication. The proposed scheme allocates the resource randomly in the time and frequency domains and transmits the message according to the probability of transmission. The performance analysis is based on the freeway scenario and periodic message transmission. Simulation results show that the proposed scheme can improve the cumulative distribution function (CDF) of the packet reception ratio (PRR) and the average PRR.

Paper Nr: 11
Title:

A 0.13 μm BiCMOS Reconfigurable Analog Baseband for Multi-mode Multi-standard Wireless Receivers

Authors:

Jian Tao and Xiangning Fan

Abstract: This paper presents a reconfigurable analog baseband (ABB) for multi-mode multi-standard wireless applications. By having digitally controllable transconductance and transimpedance amplifier stages, the gain, noise figure (NF) and linearity of the analog baseband can be reconfigured. Fabricated in IBM 0.13 μm BiCMOS process, the analog baseband achieves voltage gain from 4.4 to 33.3 dB. Simulated maximum input 1-dB compression point and input intercept point (IIP3) are 1.2 dBm and 11.2 dBm respectively. Simulated minimum noise figure is 9.4 dB. The current consumption for a single branch (I or Q) ranges from 3.5 to 4.5 mA from 1.8 V supply voltage. The chip occupies an area of 0.2 mm2.

Paper Nr: 18
Title:

Risk Assessment and Verification of Insurability

Authors:

David Nicolas Bartolini, César Benavente-Peces and Andreas Ahrens

Abstract: Nowadays, cyber-risks are an important aspect on the business agenda in every company, but they are difficult to analyze. Cyber-insurance is considered as appropriate means to absorb financial losses caused by computer security breaches. This article explains how a customer and his risks are assessed by an insurance company. It shows which funds the insurer has available to make the risk assessment and thus to check the insurability.

Area 3 - Image Processing

Full Papers
Paper Nr: 16
Title:

Sea Ice SAR Segmentation using a Novel Markov Random Field Model with S-KPFD Fast Classification

Authors:

Yingying Kong, Henry Leung, Shiyu Xing and Da Lu

Abstract: With the development of computer-assisted algorithms, to improve the accuracy of segment synthetic aperture radar (SAR) sea ice imagery, a novel MRF energy function segmentation approach is proposed and applied. Different initial label field and feature field of MRF energy function have important impacts on the final segmentation results. The initial label field of energy function is semi-supervised by sea ice S-KPFD recognition result. And the feature field is improved by K distribution model in GLCM feature. The optimal energy function of the MRF model is obtained by EM method. The weighting parameter of the feature field is taken as a function of the annealing temperature. The influence of energy field on the classification result will auto-adjust to the annealing temperature. Finally, the four classes result of sea ice is accurately and boundaries distinct. Experiments demonstrate that the proposed algorithm is able to successfully segment various SAR sea ice images and achieve improvement over existing published methods including the SA MRF, GMM, and K-means clustering.