60Ghz Millimeter Wave Channel Estimation Based On Empirical Likelihood Algorithm

Compared to traditional short-range communication technology, such as Bluetooth and Ultra-wideband,60GHz millimeter wave short-range communication is marked with many incomparable advantages, including free-permission, super-broad bandwidth and strong directivity, which has gained wide attention. However, when noise in some60GHz millimeter communication environment can’t be modeled as additive white Gaussian noise, the performance with traditional channel estimation algorithm will deeply decrease, even fail to work. At the meantime, because of the strong directivity of60GHz millimeter wave communication system, the data transmission will be avoidably blocked by unexpected shelter which leads to severe performance degradation. Although delay communication can deal with this issue, the approach occupies too much resource. In striking contrast to the delay, research based on empirical likelihood channel estimation is significant to the theoretical meaning and practical applications.This paper first introduces the basic characteristics, development and key technology of60GHz millimeter wave communication system, then expounds the basic conception and core idea of empirical likelihood algorithm. On account of the main features and applications of60GHz millimeter wave communication system, non-Gaussian noise multipath channel model and Gaussian noise multipath channel model with missing data are constructed individually. At last, we propose empirical likelihood channel estimation algorithm for two communication models and launch the computer simulations. Simulation results show that the proposed schemes can effectively estimate channel both in the non-Gaussian multipath channel and Gaussian multipath channel with missing data. This paper is divided into5chapters; each chapter is organized as follows:The first chapter provides a brief description to the research background and research meaning and the main innovation points are also discussed in this part.The second chapter describes the60GHz millimeter wave communication system’s physical features and development. then focuses on the key technology and hot topic in60GHz communication. In addition, we pay more attention to basic conception and important theorem of empirical likelihood method. At last, the application and thought are illustrated with the statistical inference of mean value.The third chapter analyzes the statistical model of non-Gaussian multipath channel in60GHz millimeter wave communication system, then attach more importance to the channel estimation based on empirical likelihood algorithm. On this basis, maximum empirical likelihood inference is proposed and the necessity and feasibility are also discussed in the end of this chapter.The fourth chapter first introduces the statistical model to Gaussian multipath channel with missing data in60GHz millimeter wave communication system because of the strong directivity. More importantly, an empirical likelihood channel estimation scheme is presented. What’s more, computer simulation on different data missing rate is carried out and the performance is also discussed.The fifth chapter is summary and outlook.