刘业民,李永祯,邢世其,等. 抗舷外有源诱饵方法研究[J]. 电波科学学报,2022,37(1):48-57. DOI: 10.12265/j.cjors.2020242
      引用本文: 刘业民,李永祯,邢世其,等. 抗舷外有源诱饵方法研究[J]. 电波科学学报,2022,37(1):48-57. DOI: 10.12265/j.cjors.2020242
      LIU Y M, LI Y Z, XING S Q, et al. Research on the method of countering off-board active decoy[J]. Chinese journal of radio science,2022,37(1):48-57. (in Chinese). DOI: 10.12265/j.cjors.2020242
      Citation: LIU Y M, LI Y Z, XING S Q, et al. Research on the method of countering off-board active decoy[J]. Chinese journal of radio science,2022,37(1):48-57. (in Chinese). DOI: 10.12265/j.cjors.2020242

      抗舷外有源诱饵方法研究

      Research on the method of countering off-board active decoy

      • 摘要: 以单脉冲测角系统为对象,从估计目标到达角(angle of arrival, AOA)的角度研究了如何对抗舷外有源诱饵干扰的问题. 首先,建立舷外有源诱饵形成质心干扰条件下的信号模型,并分析目标和舷外有源诱饵干扰回波的统计特性. 在此基础上,提出了两种目标AOA的估计方法:改进的最大似然角度估计方法和矩估计角度估计方法. 最后,通过蒙特卡洛仿真实验分析子脉冲数N、信干比(signal-to-interference ratio,SIR)和信噪比(signal-to-noise ratio,SNR)等因素对所提方法估计性能的影响. 利用本文方法研究目标AOA概率分布函数的渐近统计特性,并与其他文献方法的算法复杂度以及克拉美罗下界(Cramér-Rao lower bound, CRLB)进行了性能对比,结果表明:目标AOA概率分布函数渐近服从于高斯分布特性,且随着子脉冲数N、SIR和SNR的增大,本文所提方法的估计性能越来越接近CRLB平方根. 理论分析和仿真实验验证了本文所提方法的可行性.

         

        Abstract: From the perspective of estimating the target angle of arrival (AOA), in this paper, the problem of how to counter the interference of off-board active decoys based on the monopulse radar system is studied. The signal model under the condition of centroid jamming formed by the off-board active decoy is established, and the statistical characteristics of target and off-board active decoy jamming echoes are analyzed. Based on this, two methods of AOA estimation, the improved maximum likelihood estimation method and moment estimation method, are proposed. The Monte Carlo simulation experiment are conducted to study the performance of the angle estimators for various values of subpulses N, signal-to-interference ratio (SIR), signal-to-noise ratio (SNR), etc. The asymptotic statistical properties of the probability distribution function (PDF) of the target AOA are also studied. The accuracy of the proposed methods and algorithm complexity are compared with the existing methods and the Cramér-Rao lower bound (CRLB) as well. The results show that the PDF of target AOA obeys the Gaussian distribution asymptotically, and the estimation performance of the proposed method is closer to the square root of CRLB as the increase of the number of subpulses N, SIR and SNR. Theoretical analysis and simulation experiments verify the feasibility of the proposed methods.

         

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