通过介绍几种标定C波段偏振雷达差分反射率因子ZDR和水平反射率因子ZH系统误差常用方法的原理,利用两部相同型号的可移式C波段双线偏振雷达(POLC)在云南、安徽等地的观测数据,对这些方法进行了检验和对比分析。结果表明,ZDR的标定方法中...通过介绍几种标定C波段偏振雷达差分反射率因子ZDR和水平反射率因子ZH系统误差常用方法的原理,利用两部相同型号的可移式C波段双线偏振雷达(POLC)在云南、安徽等地的观测数据,对这些方法进行了检验和对比分析。结果表明,ZDR的标定方法中,太阳法由于偏振雷达水平与垂直方向两个接收机在较弱的信号下很难保持一致性,目前实际应用比较困难;垂直指向法要求雷达天线必须达到90°仰角,机械上有所制约;仰角法要求探测到非常均匀的雨区,在时间与空间上极难满足;地物引起的ZDR变化,在统计上无任何规律可循,因此,地物法也基本上可以排除应用于实际;干雪的ZDR并不完全等于0 dB,并且需要知道0℃层的高度,0℃层以上满足信噪比(signal to noise ratio,SNR)条件的数据较少,并且水凝物相态难以确定为干雪,因而干雪法有着一定的局限性;微雨滴法理论清晰、结论可信,不需要专门的扫描方式,能够从正常的体扫观测中得到大量的满足SNR、ZH等阈值条件的数据,提供较为准确的ZDR系统误差估计,因此,微雨滴法是一种利用气象目标进行ZDR系统误差估计较好的方法。进一步分析ZH标定的自约束法的结果表明,自约束法能够大致地验证偏振雷达ZH标定是否正确,但是,其用于ZH标定时,对偏振参量数据质量要求较高,并且约束关系的系数也有待进一步验证。展开更多
In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things （loT） and ensure the system stability, an adaptive resource allocation algorithm is proposed, which...In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things （loT） and ensure the system stability, an adaptive resource allocation algorithm is proposed, which dynami- cally assigns the network bandwidth and priority among components according to their signals＇ frequency domain characteristics. A remote sensed and controlled unmanned ground vehicle （UGV） path tracking test-bed was devel- oped and multiple UGV＇s tracking error signals were measured in the simulation for performance evaluation. Results show that with the same network bandwidth constraints, the proposed algorithm can reduce,, the accumulated and maximum errors of UGV path tracking by over 60% compared with the conventional static algorithm.展开更多
In recent years, sinmlated annealing algo-rithms have been extensively developed and uti-lized to solve nmlti-objective optimization problems. In order to obtain better optimization perfonmnce, this paper proposes a N...In recent years, sinmlated annealing algo-rithms have been extensively developed and uti-lized to solve nmlti-objective optimization problems. In order to obtain better optimization perfonmnce, this paper proposes a Novel Adaptive Simulated Annealing （NASA） algorithm for constrained multi-objective optimization based on Archived Multi-objective Simulated Annealing （AMOSA）. For han-dling multi-objective, NASA makes improverrents in three aspects： sub-iteration search, sub-archive and adaptive search, which effectively strengthen the stability and efficiency of the algorithnm For handling constraints, NASA introduces corresponding solution acceptance criterion. Furtherrrore, NASA has also been applied to optimize TD-LTE network perform-ance by adjusting antenna paranleters; it can achieve better extension and convergence than AMOSA, NS-GAII and MOPSO. Analytical studies and simulations indicate that the proposed NASA algorithm can play an important role in improving multi-objective optimi-zation performance.展开更多
文摘通过介绍几种标定C波段偏振雷达差分反射率因子ZDR和水平反射率因子ZH系统误差常用方法的原理,利用两部相同型号的可移式C波段双线偏振雷达(POLC)在云南、安徽等地的观测数据,对这些方法进行了检验和对比分析。结果表明,ZDR的标定方法中,太阳法由于偏振雷达水平与垂直方向两个接收机在较弱的信号下很难保持一致性,目前实际应用比较困难;垂直指向法要求雷达天线必须达到90°仰角,机械上有所制约;仰角法要求探测到非常均匀的雨区,在时间与空间上极难满足;地物引起的ZDR变化,在统计上无任何规律可循,因此,地物法也基本上可以排除应用于实际;干雪的ZDR并不完全等于0 dB,并且需要知道0℃层的高度,0℃层以上满足信噪比(signal to noise ratio,SNR)条件的数据较少,并且水凝物相态难以确定为干雪,因而干雪法有着一定的局限性;微雨滴法理论清晰、结论可信,不需要专门的扫描方式,能够从正常的体扫观测中得到大量的满足SNR、ZH等阈值条件的数据,提供较为准确的ZDR系统误差估计,因此,微雨滴法是一种利用气象目标进行ZDR系统误差估计较好的方法。进一步分析ZH标定的自约束法的结果表明,自约束法能够大致地验证偏振雷达ZH标定是否正确,但是,其用于ZH标定时,对偏振参量数据质量要求较高,并且约束关系的系数也有待进一步验证。
基金Supported by Natural Science Foundation of Tianjin (No. 07JCZDJC05800)Science and Technology Supporting Plan of Tianjin (No. 09ZCKFGX29200)
文摘In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things （loT） and ensure the system stability, an adaptive resource allocation algorithm is proposed, which dynami- cally assigns the network bandwidth and priority among components according to their signals＇ frequency domain characteristics. A remote sensed and controlled unmanned ground vehicle （UGV） path tracking test-bed was devel- oped and multiple UGV＇s tracking error signals were measured in the simulation for performance evaluation. Results show that with the same network bandwidth constraints, the proposed algorithm can reduce,, the accumulated and maximum errors of UGV path tracking by over 60% compared with the conventional static algorithm.
基金supported by the Major National Science & Technology Specific Project of China under Grants No.2010ZX03002-007-02,No.2009ZX03002-002,No.2010ZX03002-002-03
文摘In recent years, sinmlated annealing algo-rithms have been extensively developed and uti-lized to solve nmlti-objective optimization problems. In order to obtain better optimization perfonmnce, this paper proposes a Novel Adaptive Simulated Annealing （NASA） algorithm for constrained multi-objective optimization based on Archived Multi-objective Simulated Annealing （AMOSA）. For han-dling multi-objective, NASA makes improverrents in three aspects： sub-iteration search, sub-archive and adaptive search, which effectively strengthen the stability and efficiency of the algorithnm For handling constraints, NASA introduces corresponding solution acceptance criterion. Furtherrrore, NASA has also been applied to optimize TD-LTE network perform-ance by adjusting antenna paranleters; it can achieve better extension and convergence than AMOSA, NS-GAII and MOPSO. Analytical studies and simulations indicate that the proposed NASA algorithm can play an important role in improving multi-objective optimi-zation performance.
