Study On Accumulate Detect Of Target And The Technology Of Dots-cohesion

Combining with the related topics,techniques of pulse integration,moving target indication,constant false alarm rate(CFAR)detection and plots dots-cohesion are studied in the thesis.The following studies are based on the process of accumulate detect of target and condensation method of plots.Firstly,beginning with the techniques of pulse accumulation and moving target indication,detailed description and analysis of the coherent integration and non-coherent integration are given,Also,the thesis discusses the design of clutter suppression filter.The technology of pulse integration mainly studies on the binary integration and why the slide--window detector could cause target splitting.The technology of moving target indication mainly focuses on the description and detailed analysis of canceller and the adaptive clutter suppression filter.In addition,the theory of Doppler filters is also analyzed.To a coherent system of PD radar,the technology of Doppler filtering greatly improves the clutter suppression ability of radar.Secondly,several kinds of conventional CFAR detectors' models,including CA-CFAR,GO-CFAR,SO-CFAR,OS-CFAR,are described.Then the detection performance of several conventional CFAR detection methods is analyzed.Each of these methods has its advantages and disadvantages.Combining with the description and analysis of the conventional CFAR detection methods,of combination of CFAR detection methods is proposed in the thesis.Finally,the technology of dots-cohesion is studied in the thesis.The dots-cohesion implementation is based on the integration of signal and the detection of target.Due to many false points remained during the process of the target information extraction,the signal accumulation and CFAR detection are necessary and it can greatly reduce the false points.After CFAR detection,the distinguish and the condensing processing points are needed.In addition,according to the advantages and disadvantages of existing point's condensation methods,an improved method is proposed.Through the new method,erosion and expansion techniques should be used in binary image.At last,the validity and feasibility of the proposed method are verified through the processing of measured data.