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A novel solid-state Lidar is designed using two TE polarized beams counter-propagating towards each other. Two corresponding output beams can be seamlessly combined, doubling beam steering angle. A 28-degree beam steering range is achieved with a 100-nm wavelength tuning.

The performance analysis of different algorithms in a specific environment is an important topic of path planning research. This study focuses on the performance analysis and pros and cons of the A * algorithm and RRT algorithm in two-dimensional maze solving problems. Matlab software was used to simulate the experiment, and the maze complexity was defined as the number of branches and wall thickness. Then, the two groups of experimental complexity were divided from simple to complex. Finally, the time and presentation path of the two algorithms in each group of experiments were observed by transverse and longitudinal comparison. In two-dimensional maze path planning, A * is suitable for going through a maze efficiently, while RRT is suitable for exploring a maze evenly. These findings are significant for emergency search and rescue and exploration of unknown areas by unmanned vehicles.

We consider the degree distribution design of the low-density parity-check (LDPC) code ensembles for symmetric Gaussian multiple-access channels (GMAC). To characterize the probability density function (PDF) of the message passing in the process of joint decoding, we propose a new scheme to construct the associated Gaussian mixture (GM) distribution, where each GM component is assigned according to the corresponding signal group transmitted by the users. By tracking the variation of the GM components in the iterative decoding process, more accurate mutual information can be obtained for the extrinsic information transfer (EXIT) chart analysis. Simulation results show that the performance of our proposed LDPC codes is better than that of the existing methods.

A reliable and adequate communication network is crucial for smart grid applications. It is important to evaluate the performance of network infrastructure with respect to the diverse requirements imposed by various smart grid applications to ensure system reliability. Due to the complex dynamics involving communication and electrical systems, analytical study on smart grid faces challenges. As a result, comprehensive simulation platforms are needed for the study of interdependency between the heterogeneous systems. In this paper, we discuss the design of our smart grid co-simulation platform which combines power system simulator PSCAD/EMTDC with network simulator OPNET. In addition, we report a case study on Vehicle-to-Grid (V2G) voltage support application with respect to WiMAX / WiFi vehicle-to-infrastructure scenarios.