大斜视滑动聚束方位向波束指向控制策略

对星载电扫合成孔径雷达斜视滑动聚束模式，采用传统波束扫描策略中出现的方位向分辨率沿方位向空变大及方位扫描角度过大的问题展开研究。首先，分析采用传统斜视滑动聚束扫描策略情况下，方位向分辨率沿方位向出现空变的原因，探究方位向分辨率与扫描策略、扫描角度的关系。然后，提出基于全局搜索增强鲸鱼优化算法的斜视滑动聚束波束扫描策略，控制不同时刻下的方位向扫描角速度，降低方位向分辨率沿方位向的空变程度，减小天线最大方位向扫描角度，缩短数据录取时间，有效降低系统代价，提升系统性能。最后，通过仿真验证所提策略的有效性，方位向分辨率空变降低至1%以下，数据录取时间与总扫描角度相较于原有方法降低10%以上。     

Local empirical model of ionospheric variability

The paper presents an analysis of the ionospheric variability as a function of local time, month, and geomagnetic activity level. The 2003–2020 dataset of peak electron densities (NmF2) from the Irkutsk DPS-4 Digisonde (52.3°N, 104.3°E) was converted into the dataset of the NmF2 disturbances (ΔNmF2) representing the relative (percentage) deviations of the NmF2 from the 27-day running median. The ΔNmF2 dataset was used to calculate root mean square values of ΔNmF2 (σNmF2) by 27-day running averaging. These σNmF2 values were considered as a measure of ionospheric variability. The σNmF2 as function of local time, day of year, and year was the input for building the local empirical model of ionospheric variability based on the linear regression of σNmF2 on the 27-day average daily Ap-index of geomagnetic activity. The paper demonstrates the diurnal-seasonal variations in σNmF2 under low geomagnetic activity (linear regression intercept) as well as the rate of increase/decrease in σNmF2 with increasing Ap (linear regression slope). The obtained diurnal, seasonal, and geomagnetic activity behavior of σNmF2 is compared with previous studies of ionospheric variability.