發(fā)布時間：2018-03-26 09:34

  本文選題：重點(diǎn)雷達(dá)電子目標(biāo)　切入點(diǎn)：小樣本脈沖序列　出處：《現(xiàn)代雷達(dá)》2017年11期

【摘要】：針對現(xiàn)有雷達(dá)對抗偵察系統(tǒng)對特定雷達(dá)電子目標(biāo)識別針對性不強(qiáng)的問題,提出一種重點(diǎn)雷達(dá)電子目標(biāo)快速靶向識別方法,并采用并行處理流程,對多目標(biāo)同時進(jìn)行處理。首先,利用雷達(dá)電子目標(biāo)的先驗(yàn)信息完成小樣本脈沖序列建模;其次,實(shí)現(xiàn)了基于小樣本脈沖序列快速匹配出雷達(dá)電子目標(biāo)的算法,該方法繞過傳統(tǒng)雷達(dá)信號的分選環(huán)節(jié),不僅對重點(diǎn)雷達(dá)信號的識別效果較好,而且處理速度得到有效的提高;最后,進(jìn)行了計算機(jī)仿真驗(yàn)證。理論分析與仿真結(jié)果均表明:以快速靶向?yàn)槟康淖R別算法,能夠有效克服現(xiàn)有雷達(dá)輻射源識別方法針對性不強(qiáng)和處理流程僵化的缺陷。
[Abstract]:In order to solve the problem that the existing radar countermeasure reconnaissance system is not specific to the electronic target recognition of specific radar, a fast target recognition method for the electronic target of key radar is proposed, and the parallel processing flow is adopted to deal with the multiple targets simultaneously. Using the prior information of radar electronic target to complete the modeling of small sample pulse sequence. Secondly, the algorithm of fast matching radar electronic target based on small sample pulse sequence is realized, which bypasses the traditional radar signal sorting link. Not only the recognition effect of the key radar signal is better, but also the processing speed is improved effectively. Finally, the computer simulation is carried out. The theoretical analysis and simulation results show that the algorithm is aimed at fast target recognition. It can effectively overcome the shortcomings of existing radar emitter identification methods, such as weak pertinence and rigid processing process.
【作者單位】： 國防科技大學(xué)電子對抗學(xué)院;解放軍77627部隊(duì);
【基金】：國家預(yù)研基金資助項(xiàng)目(41101020207)
【分類號】：TN974

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