探测与控制学报
探測與控製學報
탐측여공제학보
Journal of Detection & Control
2015年
4期
6-10
,共5页
复合引信%伪码调相%正弦调频%ZAM 分布%参数提取
複閤引信%偽碼調相%正絃調頻%ZAM 分佈%參數提取
복합인신%위마조상%정현조빈%ZAM 분포%삼수제취
combined fuze%pseudo-random code phase modulation%sine frequency modulation%ZAM distribu-tion%extraction of parameters
针对伪码调相正弦调频(PRCPM-SFM)复合调制脉冲串引信参数提取问题,提出了基于 ZAM 分布的引信信号特征参数提取方法。该方法首先对接收到的 PRCPM-SFM 复合调制脉冲串引信信号进行 ZAM 变换、Hilbert 变换,然后结合信号本身的特性,对 Hilbert 变换后的信号再进行微分,并对 ZAM 分布图进行投影、切割,从中提取出该引信信号的载频、脉冲宽度、脉冲重复周期、调制频率、调频频偏、伪码码型、伪码码长等特征参数。仿真分析表明,利用该方法提取的特征参数的 NRMSE 受噪声环境的影响,在不依赖于任何先验信息的情况下,该方法能够在一定的噪声环境中有效提取出复合引信信号的所有特征参数,提高复合引信信号的SNR,能够提高其特征参数的提取精度。
針對偽碼調相正絃調頻(PRCPM-SFM)複閤調製脈遲串引信參數提取問題,提齣瞭基于 ZAM 分佈的引信信號特徵參數提取方法。該方法首先對接收到的 PRCPM-SFM 複閤調製脈遲串引信信號進行 ZAM 變換、Hilbert 變換,然後結閤信號本身的特性,對 Hilbert 變換後的信號再進行微分,併對 ZAM 分佈圖進行投影、切割,從中提取齣該引信信號的載頻、脈遲寬度、脈遲重複週期、調製頻率、調頻頻偏、偽碼碼型、偽碼碼長等特徵參數。倣真分析錶明,利用該方法提取的特徵參數的 NRMSE 受譟聲環境的影響,在不依賴于任何先驗信息的情況下,該方法能夠在一定的譟聲環境中有效提取齣複閤引信信號的所有特徵參數,提高複閤引信信號的SNR,能夠提高其特徵參數的提取精度。
침대위마조상정현조빈(PRCPM-SFM)복합조제맥충천인신삼수제취문제,제출료기우 ZAM 분포적인신신호특정삼수제취방법。해방법수선대접수도적 PRCPM-SFM 복합조제맥충천인신신호진행 ZAM 변환、Hilbert 변환,연후결합신호본신적특성,대 Hilbert 변환후적신호재진행미분,병대 ZAM 분포도진행투영、절할,종중제취출해인신신호적재빈、맥충관도、맥충중복주기、조제빈솔、조빈빈편、위마마형、위마마장등특정삼수。방진분석표명,이용해방법제취적특정삼수적 NRMSE 수조성배경적영향,재불의뢰우임하선험신식적정황하,해방법능구재일정적조성배경중유효제취출복합인신신호적소유특정삼수,제고복합인신신호적SNR,능구제고기특정삼수적제취정도。
A method based on ZAM distribution was put forward for the feature parameter extraction of PRCPM-SFM combined pulse train fuze signal.The received combined signal was treated by ZAM and Hilbert transformation firstly,then,according to the characteristics of the signal itself,the feature parameters such as carrier frequency,pulse width,pulse repetition period,modulation frequency ,modulation frequency deviation, pseudo-random code type and length,were extracted by differentiating the signal after Hilbert transformation, projecting and cutting the ZAM distribution map.Simulation analysis showed that the NRMSE of the character-istic parameters extracted by the method was affected by the noise environment,and the characteristic parame-ters of the combined fuze could be extracted effectively without any prior information in a certain noise environ-ment,and the accuracy of the extracted feature parameters could be improved by improving the SNR of the com-bined fuze signal.
