本文選題：雷達(dá) + 雙譜分析��； 參考：《西安交通大學(xué)學(xué)報(bào)》2016年12期

【摘要】：為解決頻譜彌散干擾(SMSP)和切片組合干擾(CI)2種干擾類型的識(shí)別問題,提出了一種利用雙譜分析和分形維數(shù)的干擾識(shí)別方法。首先對零中頻處理后雷達(dá)接收信號進(jìn)行雙譜分析,得到接收信號的三維雙譜信息;然后通過降維方法把三維信息變換成二維特征曲線,以減小干擾識(shí)別的計(jì)算量;最后提取二維曲線的盒維數(shù)和信息維數(shù)2個(gè)特征參數(shù),通過支持向量機(jī)對干擾識(shí)別率進(jìn)行檢驗(yàn)。仿真結(jié)果表明:在一定的噪聲背景下,該識(shí)別方法能夠較為穩(wěn)定地識(shí)別不同干擾形式;在信噪比為0dB的條件下,干擾的識(shí)別成功率能夠達(dá)到88%以上,證明了干擾識(shí)別方法的有效性。
[Abstract]:In order to solve the problem of identification of two kinds of interference types: spectrum dispersive interference (SMSP) and slice combined interference (CIQ), a method of interference recognition based on bispectrum analysis and fractal dimension is proposed. Firstly, the received signal of the radar is analyzed by bispectral analysis after zero intermediate frequency processing, and the three dimensional bispectral information of the received signal is obtained, and then the 3D information is transformed into a two-dimensional characteristic curve by reducing the dimension to reduce the computation amount of interference recognition. Finally, two characteristic parameters of the two-dimensional curve, box dimension and information dimension, are extracted, and the interference recognition rate is tested by support vector machine (SVM). The simulation results show that the method can recognize different interference forms stably under certain noise background, and the success rate of jamming identification can reach more than 88% when SNR is 0dB. The effectiveness of the method is proved.
【作者單位】： 空軍工程大學(xué)防空反導(dǎo)學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61501500)
【分類號】：TN974

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