A Method of Feature Extracting Bispectrum Cascade from Radar Emitter Signal
WANG Zhan-ling
ZHANG Deng-fu
WANG Shi-qiang
Abstract：New Problems such as redundancy bispectrums,cross-items and possess too high feature dimen-sion still arise though the existing methodes of bispectrum feature extraction can meet the needs of signal classification and recognition at present.A new bispectrum cascade feature extraction method is proposed. Firstly,the bispectrum is converted to gray image,and the amplitude of bispectrum is denoted by gray val-ue.Secondly,the bispectrum cascade feature is extracted based on image processing technique.The gray level co-occurrence matrix (GLCM)cascade feature can specify the bispectrum image texture information of radar emitter signal.Finally,the comparative experiment is made.The result shows that the GLCM features are superior to Hu-invariant moment features greatly in the aspect of performing radar signal clas-sification and recognition.
Keywords：higher order spectrum analysisbispectrumradar emitter signalfeature extractiongray level co-occurrence matrix (GLCM)
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 48-52 )