Under the background of the rapid development of radar countermeasure technologies,high accuracy measurement of radar signal parameters is not only a prerequisite of realizing electronic reconnaissance in facing the emerging new radar systems and in an increasingly complex electromagnetic environment,but also the basis for real-time separation,accurate measurement and identification of radar signals in the target area environment.Based on the high-density electromagnetic environment,this thesis carries out in-depth research on technology of high accuracy measurement of parameters in radar reconnaissance system,mainly including the following parts:Firstly,the time domain,frequency domain,and spatial domain parameters of radar signal are introduced,and the algorithm principle of digital channelization based on short-time Fourier transform and false pulse removal are introduced,which provides a theoretical basis for the design of technology of high accuracy measurement of parameters.Secondly,a high accuracy measurement method of time domain parameters based on wavelet threshold denoising and self-convolution is presented,which takes advantage of the low entropy,de-correlation and flexibility of base selection of wavelet transform and the suppression of noise by self-convolution.And the effectiveness of threshold denoising and the correlation between the selection of wavelet basis and the measurement accuracy are analyzed.Simulation results show that it can achieve effective estimation of time domain parameters and greatly improve the measurement accuracy of time domain parameters compared with other methods.Thirdly,a measurement method of frequency domain parameters based on lp norm optimization is studied,which fully considers the potential non-Gaussian nature of noise.The influence of the selection of parameter P on the accuracy of frequency measurement is analyzed,which is convenient for parameter selection in engineering application.Simulation results show that it can suppress and deal with Gaussian noise and non-Gaussian noise with impulse characteristics,realize the accurate estimation of frequency domain parameters,and improve the accuracy of frequency domain parameter measurement of radar signals.Then,according to the unknown deviation in the prior waveform information,a method of spatial domain parameter measurement based on the prior waveform is studied,this method ensures the complete utilization of prior information by setting the protection unit.Simulation results show that the proposed method can achieve accurate measurement of spatial parameters and has higher spatial parameter measurement accuracy than the shortest baseline non-fuzzy phase interferometer method.At the same time,with the improvement of SNR,the difference between the prior waveform information and the real waveform becomes smaller and smaller,which can effectively improve the measurement performance.Finally,according to the above-mentioned method of high accuracy measurement of signal parameters,a technology of high accuracy measurement of parameters in radar reconnaissance system based on a multi-channel receiver is designed and implemented.By analyzing the simulation results in the setting scenario,it is verified that the method can solve the problem of low parameter measurement accuracy and overcome the problem of pulse loss and spurious pulse.In this thesis,in the design of the technology of high accuracy measurement of parameters in radar reconnaissance system,the multi-channel pulse detection results are used to generate more comprehensive and accurate radar information and improve the utilization efficiency of resources.At the same time,the parameter measurement task of radar signal is modeled and simulated by the designed technology of high accuracy measurement of parameters.Theoretical and final numerical results show that this technology can greatly improve the accuracy of parameter measurement,thereby providing theoretical support for advanced electronic reconnaissance technologies,and has certain reference significance for practical engineering applications. |