噪声背景下基于累加排列熵加权的雷达目标检测方法

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中图分类号：TN957.51-34 文献标识码：A 文章编号：1004-373X（2026）07-0001-06

Abstract：Whenthenumberofpulses issmall，theperformanceofthetraditionalFFT-basedradar targetdetectionmethod innoisebackgroundwilldeclinesignificantlyduetospectralleakage.Inviewofthis，thepaperproposesaradartargetdetection methodbasedonweighted cumulative permutationentropybycombiningcoherent procesing with permutation entropyfeatures. Firstly，thespectralleakageanditscauses，aswellasthemethodofddingwindows toreduceleakageareanalyzed.Thn，the principleandmethodoftheweightedcumulativepermutationentropyandtheconstructionof thedetectionstatisticare elaborated.Finally，thevariationsofthedetectionthresholdoftheproposdmethodunderdiferentnoisepowerlevelsandits detectionperformanceunderdiferentnumbersofpulsesaresimulated，espectively.Thesimulationanalysisshowsthatthe proposedmethodcanmaintaintheconstantfalse-alarmrate（CFAR）characteristic.Moreover，itsdetectionperformanceis superiortothatofthetraditionalFFT-basedradartargetdetectionmethod，especiallywhenthenumberofpulsesissmall.The proposed method can also be applied in scenarios where cluter and targets are separable in the Doppler domain.

Keywords：permutationentropy；cumulativepermutationentropy;feature weighting；spectralleakage;radartargetdetection; CFAR

0 引言

在现代电子技术与军事应用快速发展的时代，雷达系统作为重要的探测与监视手段，在众多领域发挥着不可或缺的作用。（剩余6864字）