Research On Radar Return Signal MTI And Pulse Compression

As the pulse compression radar system has been widely applied to radar performance requirements are also increasing.At the same time,there are more and more preventive measures for this radar.The radar cross-sectional area(RCS)of the target is reduced,and the signal-to-noise ratio is reduced.Therefore,the resolution technology of improving the target becomes a difficult problem to be overcome.Meanwhile,the current environment,more and more clutter,will affect the detection of the effect target,so how clutter suppression is also need to be addressed.This paper mainly studies the related content of moving target detection and pulse compression in radar echo signal processing under pulse compression.The main purpose is to suppress clutter and reduce distance side lobes,improve the ability of target detection,and make radar have better performance.At the same time,in order to meet the real-time nature of the radar,research is being carried out in an effort to reduce the amount of calculation and improve the performance.Since the type of signal pulse compression radar system many different types of radar signals have different effects on performance,while the echo processing,different kinds of signal processing flow there are differences,this article analyzes the different types of pulse compression radar signal differences,we are concerned with the ambiguity function for Doppler characteristics are compared,and the degree of difficulty and in combination to achieve the echo processing.Finally,two kinds of chirp signals and P3 phase-encoded signals are selected as input waveforms for subsequent processing.Next,for clutter suppression,this paper mainly studies the moving target indication filter.Construction of the adaptive MTI filters can better inhibit motion clutter.Firstly,we analyze the signal and obtain the spectral center and spectral width of the clutter spectrum.Then,according to the characteristics of the clutter spectrum,a set of optimal filter coefficients are obtained by the eigenvector method,so as to suppress the different kinds of clutter.The simulation results show that compared with the traditional moving target display filter,the adaptive optimized filter not only can better suppress different kinds of clutter,but also does not affect other frequency parts.In the fourth chapter,based on adaptive pulse compression and pulse compression repair,an improved algorithm for reducing computational complexity,a pulse compression repair algorithm based on decimation and a simplified pulse compression repair algorithm are proposed.The APC algorithm is effective in suppressing high distance side lobes,but requires the use of received signals prior to pulse compression and replaces the current pulse compression system.On this basis,the PCR algorithm is proposed to be improved,and the computational cost of the PCR algorithm is too large to be realized.Therefore,this paper proposes and deduces the relevant formula,and finally obtains a simplified calculation method of PCR and a new structure.Through simulation experiments,comparison with APC and PCR algorithm also proves that PCR algorithm based on decimation and segmentation can achieve similar performance with PCR with less calculation.The simplified PCR algorithm performs the suppression of the distance side lobes with a simpler calculation method at the expense of a small amount of performance.