TJ95 2006065046关注美国机载激光武器(ABL)计划=Briefing of ABL pro- ject in the United States[刊,中]/宛东生(解放军电子工程学院．安徽,合肥(230037))．//激光与光电子学进展．—2006,43(3)．—28—31介绍了ABL计划的由来,并根据...TJ95 2006065046关注美国机载激光武器(ABL)计划=Briefing of ABL pro- ject in the United States[刊,中]/宛东生(解放军电子工程学院．安徽,合肥(230037))．//激光与光电子学进展．—2006,43(3)．—28—31介绍了ABL计划的由来,并根据其作战任务分析了系统组成和各部分担负的任务,系统阐述了其发展计划,并对项目进展进行了预测。表1参4(严寒)展开更多
Compared to the rank reduction estimator （RARE） based on second-order statistics （called SOS-RARE）, the RARE employing fourth-order cumulants （referred to as FOC-RARE） is capable of dealing with more sources and...Compared to the rank reduction estimator （RARE） based on second-order statistics （called SOS-RARE）, the RARE employing fourth-order cumulants （referred to as FOC-RARE） is capable of dealing with more sources and mitigating the negative influences of the Gaussian colored noise. However, in the presence of unexpected modeling errors, the resolution behavior of the FOC-RARE also deteriorate significantly as SOS-RARE, even for a known array covariance matrix. For this reason, the angle resolution capability of the FOC-RARE was theoretically analyzed. Firstly, the explicit formula for the mathematical expectation of the FOC-RARE spatial spectrum was derived through the second-order perturbation analysis method. Then, with the assumption that the unexpected modeling errors were drawn from complex circular Gaussian distribution, the theoretical formulas for the angle resolution probability of the FOC-RARE were presented. Numerical experiments validate our analytical results and demonstrate that the FOC-RARE has higher robustness to the unexpected modeling en＇ors than that of the SOS-RARE from the resolution point of view.展开更多
文摘TJ95 2006065046关注美国机载激光武器(ABL)计划=Briefing of ABL pro- ject in the United States[刊,中]/宛东生(解放军电子工程学院．安徽,合肥(230037))．//激光与光电子学进展．—2006,43(3)．—28—31介绍了ABL计划的由来,并根据其作战任务分析了系统组成和各部分担负的任务,系统阐述了其发展计划,并对项目进展进行了预测。表1参4(严寒)
基金Project(61201381)supported by the National Nature Science Foundation of ChinaProject(YP12JJ202057)supported by the Future Development Foundation of Zhengzhou Information Science and Technology College,China
文摘Compared to the rank reduction estimator （RARE） based on second-order statistics （called SOS-RARE）, the RARE employing fourth-order cumulants （referred to as FOC-RARE） is capable of dealing with more sources and mitigating the negative influences of the Gaussian colored noise. However, in the presence of unexpected modeling errors, the resolution behavior of the FOC-RARE also deteriorate significantly as SOS-RARE, even for a known array covariance matrix. For this reason, the angle resolution capability of the FOC-RARE was theoretically analyzed. Firstly, the explicit formula for the mathematical expectation of the FOC-RARE spatial spectrum was derived through the second-order perturbation analysis method. Then, with the assumption that the unexpected modeling errors were drawn from complex circular Gaussian distribution, the theoretical formulas for the angle resolution probability of the FOC-RARE were presented. Numerical experiments validate our analytical results and demonstrate that the FOC-RARE has higher robustness to the unexpected modeling en＇ors than that of the SOS-RARE from the resolution point of view.
