Research On Integrated Modeling And Multiplexing Algorithm For Communications

Modern wireless communication is developing from the traditional single function or platform to the integrated and systematized system.Nowadays,domestic research on telemetry,remote control,and communication systems has achieved great results.But research on the integrated system has just started.Based on the domestic and international research of Telemetry,Tracking,and Communications(TT&C),this thesis mainly focuses on the theoretical analysis of integrated system modeling and its communication multiplexing algorithms.This thesis explores the integrated system modeling and its communication multiplexing algorithms from three aspects: signal,channel,and information.At the signal level,a variety of signal formats,such as telemetry,remote control,and communication signals,are handled by a proposed integrated back-end signal hardware unit.At the channel level,an integrated channel prediction model is proposed to reflect real-time changing channel parameters,such as path loss and packet drop rate.And then frequency bands and channels could be intelligently selected according to prediction results.At the information level,the method of dimension multiplexing is proposed to enable a signal to carry TT&C signals.This algorithm enables multidimensional information could be transmitted by limited spectrum resources.The main research contents and contributions are as follows:1)Proposed a UQPSK-based measurement and control communication system model.Aiming at the demand of the integrated hardware platform in the integrated system,this thesis proposes a UQPSK-based measurement and control communication system model.Aiming at the requirements of independence,versatility and redundant backup,this thesis proposes a modular integrated uplink and downlink architecture.Aiming at the requirements of multi-function signal fusion,transmission,and data acquisition,this thesis designs a UQPSK-based measurement and control communication signal model which uses signal characteristics such as amplitude and phase to carry multiple functional signals.It makes multi-task measurement and control communication in limited resources and limited space possible.Further,resources can be dynamically divided according to actual task requirements and resource usage.It provides preconditions for comprehensive task processing such as communication,navigation,measurement and control,flight control and information support.2)Proposed a high-speed signal processing algorithm based on dual-channel polyphase filter banks.Aiming at the demand of high-speed signal processing in the integrated system,this thesis proposes a high-speed signal processing algorithm based on dual-channel polyphase filter banks.With the polyphase filtering structure,multiple filter banks with lower orders can be utilized for higher-order filtering.Meanwhile,the data rate processed by each branch filter is only I/D of the original data rate.Through the proposed two-path structure,the channelized digital reception blind zone generated by D decimation is overcome.3)Proposed a path loss real-time prediction model based on the neural network.Aiming at the demand of path loss prediction in the integrated system,this thesis proposes a path loss prediction model based on the neural network.The path loss model is constructed efficiently by a connectionist mathematical method that can predict both trend and details of path loss.On this basis,to meet the needs of real-time prediction,the proposed model continuously updates the data set,re-trains the neural network,and updates the neuron weights in a time-varying environment.The updated neural network model could reflect the current channel environment state in real-time.4)Proposed a packet drop real-time prediction model based on the neural network.Aiming at the demand of packet drop rate prediction in the integrated system,this thesis proposes a neural network-based packet drop prediction model.Analogously,the proposed model continuously updates the data set,re-trains the neural network,and updates the neuron weights in a time-varying environment.Via the result of neural network,probability distribution function of the packet loss situation in real-time,the current packet loss rate is effectively predicted.Combining path loss prediction with packet drop rate prediction,the channel state can be effectively reflected.And the prediction results provide effective support for the integrated system intelligently selecting frequency bands and channels.5)Proposed a dimension reuse algorithm based on the MDUS fusion algorithm and an architecture based on MDUS-OFDM.Aiming at the requirements of telemetry,remote control and communication information fusion in the integrated system,this thesis proposes a dimension reuse algorithm based on Multi-Dimension Unified Signal(MDUS)fusion algorithm.The algorithm enables multiple types of information could be carried simultaneously in one signal.And the basic elements of the signal such as amplitude and bit rate are not constrained by the fusion method.According to the characteristics of logical recursion,the one-dimensional complex domain of the signal is extended to a two-dimensional,three-dimensional or higher-dimensional complex space.That is,the original data flow is extended to threedimensional,four-dimensional or higher dimensions.Thus,the multiple one-dimensional information is combined into one multi-dimensional signal.The proposed algorithm enables the non-interfering and independent multi-information transmission in the integrated system.Aiming at the issue of flexible transmission of multi-information under limited spectrum resources in the integrated system.This thesis proposes a multiplexing architecture based on MDUS-OFDM.Via dynamically converting the number of OFDM sub-bands and MDUS sub-dimensions,a more flexible solution for multiple information transmission under limited spectrum resources is provided.In the implementation of the integrated system,the traditional single-dimensional spectrum utilization mode will be extended to the variable multi-dimensional spectrum utilization mode.