Waveform Reconfigurable Software Radio Platform Technology Based On Spectrum Sensing

Software-defined radio(SDR)is an important branch of the software communication system architecture.It is the research and development direction of radio systems.Its core idea is to use a common hardware platform for the reprogrammable and reusable software components.Although SDR can effectively solve the problems among inconsistent communication devices.It can't dynamically reconstruct and configure communication waveforms.Therefore,this thesis uses the spectrum sensing technology to design a software radio platform that can adaptively perform waveform reconstruction.The specific work of this thesis is as follows:Firstly,this thesis studies the spectrum sensing algorithm based on signal highorder cumulant and random forest.The random forest model is composed o f multiple weak classifiers i.e.decision trees.Considering the over-fitting problem in the learning results of decision trees,the random forest model integrates the output results of multiple decision trees.It can improve the accuracy of the model.The high-order cumulant of the signal is used as the input parameter of the training model.Secondly,this thesis designs a reconfigurable software radio architecture,which is based on the reconfiguration configuration software.The main control software framework realizes the management and resource allocation of each interface module.And the waveform component provides various signal-related functional interfaces for transfer.The design of reconfigurable waveform components includes the design of waveform communication interface and waveform algorithm logic.The waveform reconstruction management module of FPGA is analyzed,and several optimization measures are proposed for the dynamic deployment of the waveform.Finally,this thesis builds a waveform reconfigurable software radio platform based on spectrum sensing.The correctness and effectiveness of the proposed spectrum sensing algorithm are verified,and the modulation type of the received signal can be identified.At the same time,through adaptive waveform reconstruction experiments,it is verified that the designed software radio platform can adaptively assemble and unload waveforms according to the electromagnetic environment in space.