Research On Large Dynamic Array Signal Receiving And Processing Technology

With the increasing diversification and complexity of the signal environment,various fields have higher and higher requirements for the performance of array signal reception and processing,and the dynamic range is often an important factor that affects whether it meets high-performance characteristics.The traditional way to increase the dynamic range is to improve the structure of the internal circuit of the system,or to use devices made of new materials,but these methods are more or less limited by the process or cost.Therefore,in the case of a given circuit structure,it is necessary to discuss an appropriate data processing method to make the receiving and processing process show good dynamic performance.This article mainly completed the following research work:(1)On-line calibration between channels of array receiving system based on analysis of amplitude and phase error model.In actual scenarios,the array digital reception uses multiple channels to collect at the same time to obtain multiple sets of received signals.At this time,higher requirements are put forward on the synchronization performance between multiple channels.Therefore,this article first analyzes the sources of synchronization errors,and builds an amplitude-phase error model on this basis,and then derives a method for multi-channel amplitude-phase consistency calibration based on the idea of adaptive filtering.The test results show that the amplitude and phase error has been significantly improved after calibration.(2)Research on Implementation Method of Large Dynamic Range for Array Signal Channelization.Combining system requirements,the design method of each module of channelization was discussed in detail,and its specific implementation structure was determined.On this basis,through the combination of theory and simulation,the influence of different data processing methods on the dynamic range is compared in the digital domain,and the optimal fixed-point solution is obtained by analyzing the results.Then use DMA FIFO to complete the communication between the hardware platform and the upper computer,and realize the real-time error-free transmission of data.Finally,tests were carried out in the time domain,frequency domain and space domain respectively,and the results showed that the received signal was successfully moved to zero intermediate frequency,and it has good dynamic performance.(3)Design and implementation of beamforming based on dynamic intercept.According to the problems encountered in the application of target tracking and positioning with the zero-IF signal obtained above,a dynamic interception method that can adapt to different signal environments is proposed to further expand the dynamic range of the signal that the system can handle,thereby in the fixed-point process of beamforming The weak signal can retain as much useful information as possible.This method was tested with field data,which verified its feasibility and effectiveness.